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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. 9-RES-JB
    11. 4699
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    Explanations

    adjectives or phrases describing personal or emotional reactions to various situations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of incredulity or difficulty related to experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    afia
    -0.71
    WN
    -0.66
    raviolet
    -0.66
    phia
    -0.65
    WAR
    -0.63
    estate
    -0.61
    eday
    -0.61
     fists
    -0.60
    steel
    -0.60
    mouth
    -0.60
    POSITIVE LOGITS
     amusing
    1.06
     objectionable
    1.04
     attractive
    1.01
    ById
    0.98
     irresistible
    0.96
     puzzling
    0.95
     fascinating
    0.94
     appealing
    0.93
     intolerable
    0.92
     helpful
    0.92
    Activations Density 0.175%

    No Known Activations