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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. 9-RES-JB
    11. 8619
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    INDEX
    Explanations

    mentions of new things or changes

    oai_token-act-pair · gpt-3.5-turbo

    references to new roles or positions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ashtra
    -0.91
    ignt
    -0.83
    SPONSORED
    -0.79
    Invalid
    -0.75
     Originally
    -0.72
    krit
    -0.70
    cius
    -0.66
     SHARES
    -0.66
    umenthal
    -0.66
    legraph
    -0.65
    POSITIVE LOGITS
    bies
    1.27
    bie
    1.24
     arrivals
    1.06
     arrival
    0.94
     hire
    0.92
     recruit
    0.90
     tack
    0.89
     teammates
    0.87
     recruits
    0.86
     teammate
    0.84
    Activations Density 0.115%

    No Known Activations