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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. 9-RES-JB
    11. 6095
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    Explanations

    phrases related to criminal activities or police investigations

    oai_token-act-pair · gpt-3.5-turbo

    repeated periods and punctuation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mith
    -0.67
    ori
    -0.65
    ppelin
    -0.65
    iser
    -0.63
    igham
    -0.63
    ack
    -0.63
    azi
    -0.62
    ipal
    -0.61
     infl
    -0.60
    xes
    -0.60
    POSITIVE LOGITS
     ."
    1.25
     ,"
    1.02
    ↵Âł
    0.85
     Anyway
    0.85
     Hmm
    0.84
     .
    0.84
    until
    0.84
     ³³
    0.83
     .)
    0.82
    ³³³³
    0.81
    Activations Density 0.023%

    No Known Activations