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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. 0-RES-JB
    11. 22418
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    Explanations

    profane words expressing strong emotion or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    intense expressions of frustration or anger

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rec
    -0.74
     Prompt
    -0.69
     Carney
    -0.68
    egu
    -0.67
    raft
    -0.66
    iday
    -0.65
    lected
    -0.64
     Merrill
    -0.63
    ARS
    -0.63
    lections
    -0.63
    POSITIVE LOGITS
     fuck
    3.81
    fuck
    3.66
    Fuck
    2.94
     Fuck
    2.89
     FUCK
    2.58
     fucked
    2.46
     fucking
    2.35
     shit
    2.10
     fuckin
    1.91
     goddamn
    1.82
    Activations Density 0.025%

    No Known Activations