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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. 11283
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    Explanations

    references to physical objects like utensils

    oai_token-act-pair · gpt-3.5-turbo

    references to forks, both literal and metaphorical

    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
    useum
    -0.78
    ACP
    -0.70
    DEF
    -0.69
     Penet
    -0.68
     Neville
    -0.68
     Laboratory
    -0.65
    ECH
    -0.65
    roit
    -0.65
     Images
    -0.63
    chemical
    -0.63
    POSITIVE LOGITS
    lift
    1.40
     fork
    1.04
     forks
    0.88
    ingen
    0.83
    ners
    0.81
    edIn
    0.80
    fork
    0.80
     parting
    0.80
     straw
    0.74
     lane
    0.74
    Activations Density 0.010%

    No Known Activations