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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. 4-RES-JB
    11. 29
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    INDEX
    Explanations

    descriptions of physical facial appearances, conditions, or injuries

    oai_token-act-pair · gpt-3.5-turbo

    mentions of facial injuries or distress

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

    No Comments

    Negative Logits
    æ©Ł
    -0.89
    CAST
    -0.80
    IENT
    -0.72
    RY
    -0.71
    icult
    -0.69
    arity
    -0.66
    isexual
    -0.64
    isl
    -0.62
    icultural
    -0.62
    ERN
    -0.62
    POSITIVE LOGITS
    plate
    1.03
     face
    0.99
    beard
    0.94
     cheeks
    0.93
    face
    0.91
     faces
    0.90
    plant
    0.88
    faces
    0.86
    hair
    0.84
    crow
    0.82
    Activations Density 0.022%

    No Known Activations