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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. 8-RES-JB
    11. 16699
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    Explanations

    words related to the action of 'whipping'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to whipping or beating, often in a figurative or metaphorical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    negie
    -0.81
    bell
    -0.78
    oslov
    -0.76
    onica
    -0.72
    yang
    -0.72
    ajor
    -0.72
     Federation
    -0.71
    assium
    -0.71
    ally
    -0.69
    ently
    -0.69
    POSITIVE LOGITS
    lasses
    0.68
    ceivable
    0.68
    zers
    0.65
    Sav
    0.65
    andan
    0.64
    Marginal
    0.63
    olicy
    0.63
    xtap
    0.63
    buffer
    0.62
    ollen
    0.62
    Activations Density 0.136%

    No Known Activations