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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
    11. 7497
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    Explanations

    words related to the disposal or transformation of physical objects or substances

    oai_token-act-pair · gpt-3.5-turbo

    words related to forms of decay or decomposition

    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
    REL
    -0.73
    owitz
    -0.68
    soDeliveryDate
    -0.67
    Alias
    -0.67
    lez
    -0.66
    avering
    -0.64
    occup
    -0.63
    saf
    -0.63
    drawn
    -0.62
    weather
    -0.62
    POSITIVE LOGITS
    aneously
    0.72
     toilets
    0.68
     embryos
    0.68
     warheads
    0.68
    agus
    0.67
    ulate
    0.67
     uranium
    0.67
     tissues
    0.65
     corpses
    0.64
     Hiroshima
    0.64
    Activations Density 0.196%

    No Known Activations