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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
    11. 14004
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    Explanations

    proper nouns related to specific locations or people

    oai_token-act-pair · gpt-3.5-turbo

    words related to specific entities or terminologies, particularly names and titles in the context of film and culture

    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
    ItemThumbnailImage
    -0.70
    Quantity
    -0.67
    ¥µ
    -0.65
     tremend
    -0.64
    VALUE
    -0.60
     srfAttach
    -0.58
     warrant
    -0.57
    Font
    -0.57
    ĪĴ
    -0.57
     defect
    -0.56
    POSITIVE LOGITS
    rency
    1.21
    reau
    0.82
    cious
    0.80
    furt
    0.79
    hers
    0.76
    igion
    0.75
    enza
    0.75
    alid
    0.73
    lear
    0.72
    ortium
    0.72
    Activations Density 0.069%

    No Known Activations