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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. 7-RES-JB
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    Explanations

    words related to catastrophic and disastrous events

    oai_token-act-pair · gpt-3.5-turbo

    forms of the word "ast"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pton
    -0.80
    yip
    -0.77
    chy
    -0.73
    pei
    -0.72
    plet
    -0.71
    perty
    -0.70
    kson
    -0.70
    ptive
    -0.67
    pared
    -0.67
    pheus
    -0.67
    POSITIVE LOGITS
    rophe
    1.28
    rophic
    1.07
    roph
    0.99
    efully
    0.94
    ruct
    0.93
    ream
    0.93
    eful
    0.91
    rup
    0.89
    odon
    0.88
    rike
    0.87
    Activations Density 0.028%

    No Known Activations