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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. 6-RES-JB
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    Explanations

    mentions of the word "jaw" at different levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the word "jaw."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Blackwell
    -0.72
    mitt
    -0.71
     Investors
    -0.70
    istant
    -0.70
    fell
    -0.70
    isle
    -0.68
    mission
    -0.66
    markets
    -0.66
     Galactic
    -0.65
    folio
    -0.65
    POSITIVE LOGITS
    bone
    1.20
    bones
    1.10
    oly
    0.87
    Bone
    0.85
    doms
    0.85
     jaw
    0.83
    dropping
    0.83
    igsaw
    0.82
    asaki
    0.82
    bons
    0.81
    Activations Density 0.020%

    No Known Activations