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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. 3-RES-JB
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    Explanations

    information related to legal cases, crime incidents, and law enforcement interventions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "involving."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asis
    -0.75
    si
    -0.71
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.70
    apult
    -0.70
    heit
    -0.68
    onew
    -0.68
    aver
    -0.66
    udeb
    -0.65
     Sabha
    -0.65
    hat
    -0.65
    POSITIVE LOGITS
     involving
    0.85
    itaire
    0.75
    adoes
    0.67
     involves
    0.66
     Deity
    0.65
     microphones
    0.64
     criminality
    0.63
     investigations
    0.62
    FACE
    0.62
    pins
    0.62
    Activations Density 0.019%

    No Known Activations