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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. 1-RES-JB
    11. 22261
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    INDEX
    Explanations

    mentions of competitors in a business context

    oai_token-act-pair · gpt-3.5-turbo

    references to competitors in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Alz
    -0.72
    stones
    -0.72
    elt
    -0.70
    elf
    -0.68
    lich
    -0.68
    joy
    -0.68
    ork
    -0.67
    ward
    -0.67
    oke
    -0.66
    det
    -0.66
    POSITIVE LOGITS
     competitors
    1.40
     competitor
    1.37
     competing
    0.97
     competition
    0.93
     challengers
    0.90
     contestants
    0.90
     entrants
    0.89
     contestant
    0.88
     competed
    0.86
    DAQ
    0.85
    Activations Density 0.009%

    No Known Activations