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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. 12495
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    oai_token-act-pair · gpt-3.5-turbo

    unique identifiers or keywords, possibly related to names or specialized terms

    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
     Highlands
    -0.68
    emale
    -0.63
    accompan
    -0.60
     Pric
    -0.59
    士
    -0.58
     Corinth
    -0.55
     Instr
    -0.55
     Seat
    -0.54
     Channel
    -0.53
    mobi
    -0.53
    POSITIVE LOGITS
    mosp
    0.74
    chwitz
    0.70
    moil
    0.67
    ircraft
    0.64
    quit
    0.64
    lement
    0.63
    isoft
    0.63
    orm
    0.62
    omb
    0.62
    opl
    0.62
    Activations Density 0.098%

    No Known Activations