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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. 22986
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    Explanations

    editor's notes

    oai_token-act-pair · gpt-3.5-turbo

    possessive pronouns and references to editorial notes

    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
    abouts
    -0.82
    Downloadha
    -0.74
    yip
    -0.74
    illy
    -0.71
    ĪĴ
    -0.69
    ril
    -0.66
    sters
    -0.64
    rill
    -0.62
     beds
    -0.62
     plaus
    -0.61
    POSITIVE LOGITS
    Publisher
    0.93
     Picks
    0.90
     Editorial
    0.76
    lishing
    0.74
     editorial
    0.72
    lisher
    0.72
    ature
    0.71
    Edge
    0.70
    Journal
    0.69
     Dragonbound
    0.68
    Activations Density 0.087%

    No Known Activations