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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. 6-RES-JB
    11. 17093
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    Explanations

    mentions of criminal acts and investigations

    oai_token-act-pair · gpt-3.5-turbo

    elements related to crime and investigations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )."
    -0.68
    ).[
    -0.64
    ."[
    -0.62
    ".[
    -0.61
    .""
    -0.60
    .'"
    -0.59
    .).
    -0.57
    '."
    -0.57
    ]."
    -0.56
    cffffcc
    -0.56
    POSITIVE LOGITS
    minist
    0.50
    ?:
    0.50
    ?",
    0.47
    esides
    0.46
    ?
    0.45
    '?
    0.44
    ãĤ¼ãĤ¦ãĤ¹
    0.42
     Grimoire
    0.42
    !?
    0.41
    efe
    0.40
    Activations Density 2.428%

    No Known Activations