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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 10-RES-JB
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    Explanations

    mentions of the name “Jackson” with a focus on various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Jackson" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ancial
    -0.82
    rd
    -0.79
    cht
    -0.77
    spread
    -0.75
    lator
    -0.75
    req
    -0.72
    dfx
    -0.71
    bsp
    -0.70
    evil
    -0.69
    xit
    -0.68
    POSITIVE LOGITS
     Hole
    1.05
     Browne
    0.91
    SON
    0.89
     Heights
    0.73
     Square
    0.72
     Jackson
    0.70
    angel
    0.70
     Davis
    0.69
    lyn
    0.67
    ippi
    0.66
    Activations Density 0.026%

    No Known Activations