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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. 19896
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    Explanations

    phrases related to tasks that need to be performed or accomplished

    oai_token-act-pair · gpt-3.5-turbo

    phrases focused on the necessity of actions or conditions

    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
     Globe
    -0.74
     Printing
    -0.69
     Gw
    -0.65
    lag
    -0.63
    473
    -0.63
     Hamm
    -0.63
     irregularities
    -0.60
     Newspaper
    -0.59
    ritz
    -0.59
    indle
    -0.58
    POSITIVE LOGITS
     accounted
    1.01
     able
    0.96
     careful
    0.95
     repaid
    0.95
     reckoned
    0.93
     reminded
    0.92
     dealt
    0.91
     healed
    0.90
    leeve
    0.90
     addressed
    0.89
    Activations Density 0.060%

    No Known Activations