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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. 19808
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    Explanations

    words or parts of words related to criminal activities or investigations

    oai_token-act-pair · gpt-3.5-turbo

    words related to forms of exploitation or manipulation

    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
    ategory
    -0.77
     Skydragon
    -0.69
     unchecked
    -0.66
    Topic
    -0.61
     Camer
    -0.59
    Reviewed
    -0.58
    Ô
    -0.56
    scl
    -0.53
    doors
    -0.53
    words
    -0.53
    POSITIVE LOGITS
    uments
    0.92
    oleon
    0.86
    matical
    0.86
    culated
    0.83
    acements
    0.78
    ogyn
    0.77
    azon
    0.77
    ciating
    0.75
    atically
    0.75
    zsche
    0.74
    Activations Density 0.059%

    No Known Activations