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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. 16443
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    INDEX
    Explanations

    sentences discussing quantities and values

    oai_token-act-pair · gpt-3.5-turbo

    quantitative expressions and measurements

    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
    ffe
    -0.77
     Boot
    -0.68
    seek
    -0.66
    places
    -0.63
    ovo
    -0.63
    quartered
    -0.61
     airs
    -0.59
    eyed
    -0.58
    NetMessage
    -0.57
     Pon
    -0.56
    POSITIVE LOGITS
     suffice
    1.62
     sufficient
    1.12
     enough
    1.09
    enough
    0.99
     Enough
    0.86
     insufficient
    0.84
     worth
    0.83
    Enough
    0.81
    undred
    0.79
     unheard
    0.78
    Activations Density 0.281%

    No Known Activations