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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. 17064
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    Explanations

    words related to finding solutions or identifying problems

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "crack" and its variations in various contexts

    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
     attendant
    -0.72
     Trilogy
    -0.65
     secretaries
    -0.64
     accompanying
    -0.63
     borne
    -0.63
    onement
    -0.61
    endment
    -0.60
    rag
    -0.60
     planners
    -0.59
    amara
    -0.58
    POSITIVE LOGITS
    pots
    0.85
    kered
    0.78
    sonian
    0.76
    vae
    0.75
     jaws
    0.75
    ulously
    0.71
    amac
    0.71
    itely
    0.71
    ORN
    0.69
     corrid
    0.69
    Activations Density 0.073%

    No Known Activations