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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. 4-RES-JB
    11. 11266
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    INDEX
    Explanations

    mentions of specific terms or entities

    oai_token-act-pair · gpt-3.5-turbo

    words related to sports teams and their performance

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

    No Comments

    Negative Logits
     mould
    -0.72
     cannibal
    -0.68
     pac
    -0.65
     propag
    -0.64
    EStream
    -0.64
     regress
    -0.64
     mold
    -0.63
     word
    -0.63
     enticing
    -0.62
     ideologically
    -0.61
    POSITIVE LOGITS
    wen
    0.80
    Wide
    0.76
    anche
    0.75
    ricks
    0.75
    asis
    0.71
    vity
    0.70
    arten
    0.70
    ibur
    0.70
    LES
    0.70
     Doodle
    0.70
    Activations Density 0.364%

    No Known Activations