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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. 13378
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    Explanations

    proper names of individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals mentioned in the document

    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
    chron
    -0.75
    fighters
    -0.74
    gress
    -0.73
    thia
    -0.70
    ebus
    -0.68
    req
    -0.67
    Morning
    -0.67
    bara
    -0.67
    cephal
    -0.67
    chest
    -0.66
    POSITIVE LOGITS
     Lambert
    1.39
     Lerner
    1.15
    oyd
    0.87
     Clarkson
    0.87
     Levy
    0.76
     Lawson
    0.75
     Gerard
    0.75
     Clifford
    0.75
     Atkinson
    0.74
    itsch
    0.73
    Activations Density 0.015%

    No Known Activations