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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. 7-RES-JB
    11. 8671
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    Explanations

    mentions of physical characteristics or states related to weight or health

    oai_token-act-pair · gpt-3.5-turbo

    phrases discussing human behavior and social dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Iv
    -0.69
    igree
    -0.65
    yx
    -0.61
     Pwr
    -0.59
    elight
    -0.59
    ipel
    -0.59
    Others
    -0.58
     recalls
    -0.58
    eaturing
    -0.58
    umni
    -0.56
    POSITIVE LOGITS
     ALWAYS
    0.73
     fucked
    0.69
     overest
    0.68
     Canaver
    0.66
     fundamentally
    0.65
     REALLY
    0.65
     fucking
    0.64
     shitty
    0.62
     objectively
    0.61
     pathological
    0.60
    Activations Density 1.446%

    No Known Activations