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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 10981
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    Explanations

    words associated with different types of problems or situations, such as strategy issues, medical issues, trade agreements, drug gateways, and emergency situations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to complex issues or problems, particularly those that involve societal or systemic implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    姫
    -0.89
    »Ĵ
    -0.86
    itu
    -0.80
    gres
    -0.76
    doms
    -0.75
    ramids
    -0.73
    ħĭ
    -0.72
    ç¥ŀ
    -0.71
    aido
    -0.71
    İĭ
    -0.71
    POSITIVE LOGITS
     worthy
    0.86
     extraord
    0.86
     affair
    0.85
     akin
    0.83
     deserving
    0.76
     unto
    0.74
     nonetheless
    0.74
     punishable
    0.73
     diversion
    0.71
     insofar
    0.71
    Activations Density 0.459%

    No Known Activations