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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. 6917
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    Explanations

    words related to destruction and chaos

    oai_token-act-pair · gpt-3.5-turbo

    words related to chaos or disruption associated with a negative impact

    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
    animous
    -0.81
    aceutical
    -0.76
    imaru
    -0.74
    tarians
    -0.71
    ileaks
    -0.69
    repre
    -0.68
    iotics
    -0.67
    Cass
    -0.65
    ersion
    -0.65
    iang
    -0.65
    POSITIVE LOGITS
    \\\\
    1.04
    cks
    1.00
     wre
    0.82
    \\\\\\\\\\\\\\\\
    0.80
    chy
    0.80
    rette
    0.77
    lling
    0.77
     havoc
    0.75
    ¯¯¯¯
    0.75
     backlog
    0.70
    Activations Density 0.026%

    No Known Activations