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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. 11-RES-JB
    11. 5659
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    Explanations

    verbs related to accomplishing a task effectively

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to exceptions or cases that stand out from norms or rules

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.70
    arlane
    -0.61
    lished
    -0.61
     manifesto
    -0.59
    nesday
    -0.58
    ãĥīãĥ©
    -0.57
     redes
    -0.55
     republican
    -0.53
     Adin
    -0.52
     Mitt
    -0.51
    POSITIVE LOGITS
    .;
    0.96
    .
    0.95
     unless
    0.93
    .[
    0.89
    .:
    0.88
    ;
    0.85
    !.
    0.83
    .]
    0.83
    %.
    0.82
    unless
    0.81
    Activations Density 0.427%

    No Known Activations