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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. 23659
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    Explanations

    words related to tentatively or affirmatively stated information

    oai_token-act-pair · gpt-3.5-turbo

    words related to tentative assertions or conditions

    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
    ocene
    -0.74
     Elys
    -0.73
    itu
    -0.71
     Franks
    -0.67
    iens
    -0.65
     Rey
    -0.65
     Meteor
    -0.63
    nce
    -0.63
     Kelvin
    -0.62
     Desert
    -0.62
    POSITIVE LOGITS
     speaking
    0.93
     priced
    0.86
     minded
    0.79
     conclud
    0.77
    vernment
    0.72
     Speaking
    0.72
     competed
    0.70
     tolerated
    0.69
    STEM
    0.68
     displaced
    0.68
    Activations Density 0.022%

    No Known Activations