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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
    11. 6603
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    Explanations

    words related to negative or unsettling situations or events

    oai_token-act-pair · gpt-3.5-turbo

    references to disturbing or troubling events or trends

    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
    cellence
    -0.94
    pel
    -0.82
    rosis
    -0.81
    ependence
    -0.78
    owned
    -0.76
    hement
    -0.76
    ardi
    -0.75
    eva
    -0.75
    essed
    -0.75
    ributed
    -0.74
    POSITIVE LOGITS
     undermin
    0.88
     Revelations
    0.83
    ly
    0.74
     revelations
    0.73
    LY
    0.71
     horrors
    0.71
    ingly
    0.69
     disturbing
    0.69
     occurrences
    0.69
     noises
    0.68
    Activations Density 0.020%

    No Known Activations