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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. 356
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    Explanations

    terms related to criminal activities and investigations

    oai_token-act-pair · gpt-3.5-turbo

    nouns and phrases related to various roles and situations, particularly in specific contexts

    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
     notor
    -0.61
     predec
    -0.61
    ificantly
    -0.58
     streng
    -0.55
    ighth
    -0.53
     util
    -0.53
     predecessor
    -0.52
    sequently
    -0.52
    puted
    -0.51
     exha
    -0.51
    POSITIVE LOGITS
    ?:
    1.15
    ?,
    1.07
    !:
    1.04
    !,
    1.02
    ,...
    1.00
    :,
    0.93
    :
    0.91
    *,
    0.90
    ,—
    0.87
    ,
    0.85
    Activations Density 0.421%

    No Known Activations