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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. 7-RES-JB
    11. 11712
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    Explanations

    profane language or vulgar terms

    oai_token-act-pair · gpt-3.5-turbo

    references to "shit" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HCR
    -0.82
     Expend
    -0.70
    fman
    -0.69
    ervation
    -0.68
    gary
    -0.66
    arb
    -0.66
    BIL
    -0.64
    Decre
    -0.63
    PsyNetMessage
    -0.62
    ================================
    -0.62
    POSITIVE LOGITS
    bags
    1.02
    posts
    0.97
     detector
    0.94
    heads
    0.93
    loads
    0.93
    shots
    0.92
    storm
    0.91
    wit
    0.90
    lord
    0.86
    faced
    0.85
    Activations Density 0.020%

    No Known Activations