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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. 1-RES-JB
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    Explanations

    terms related to crime, law enforcement, and association

    oai_token-act-pair · gpt-3.5-turbo

    words related to accomplices or individuals involved in crimes or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oop
    -0.75
    itsch
    -0.70
     filament
    -0.70
    netflix
    -0.69
    eco
    -0.68
    wal
    -0.67
     erection
    -0.66
     nipples
    -0.66
    gard
    -0.64
     plains
    -0.64
    POSITIVE LOGITS
    ————
    0.81
    SPONSORED
    0.81
    PsyNetMessage
    0.78
    ĺħ
    0.72
    llah
    0.70
    UID
    0.69
    izoph
    0.68
    abilia
    0.67
    OULD
    0.65
    Pg
    0.64
    Activations Density 0.091%

    No Known Activations