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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. 4148
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    INDEX
    Explanations

    references to large-scale events or situations with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of mass-related events or phenomena

    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
    yssey
    -0.81
    nos
    -0.77
    BILITIES
    -0.75
    thy
    -0.73
    tis
    -0.69
    thens
    -0.68
    ĪĴ
    -0.66
    mingham
    -0.65
    phy
    -0.64
    ©¶æ
    -0.63
    POSITIVE LOGITS
    achusetts
    1.40
     quantities
    0.85
     transit
    0.77
    aging
    0.76
     graves
    0.75
     exodus
    0.75
     incarceration
    0.74
    ablishment
    0.71
     transportation
    0.70
     layoffs
    0.70
    Activations Density 0.011%

    No Known Activations