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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. 3-RES-JB
    11. 23891
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    Explanations

    phrases related to shocking or important revelations

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to significant events or revelations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irection
    -0.87
    imensional
    -0.83
    awi
    -0.82
    neys
    -0.80
    isine
    -0.80
    ovan
    -0.77
    gments
    -0.76
    quel
    -0.76
    ogh
    -0.74
    LV
    -0.74
    POSITIVE LOGITS
     WARN
    0.72
     confir
    0.72
    wig
    0.71
     storm
    0.69
    orate
    0.69
     mathemat
    0.68
     particle
    0.66
    âĸ¬
    0.66
    pop
    0.66
     Jag
    0.65
    Activations Density 0.030%

    No Known Activations