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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. 11-RES-JB
    11. 3325
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    Explanations

    phrases related to readers and audience interaction

    oai_token-act-pair · gpt-3.5-turbo

    references to readers and their engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reloaded
    -0.75
    --+
    -0.68
     restart
    -0.65
    ¬¼
    -0.63
     Skull
    -0.60
     drums
    -0.60
     halftime
    -0.60
    ayne
    -0.59
    senal
    -0.58
     Winning
    -0.58
    POSITIVE LOGITS
    hip
    1.94
    hips
    1.25
    uggest
    1.13
    itarian
    0.88
    bridge
    0.85
    boy
    0.85
    erv
    0.84
    20439
    0.84
    iences
    0.82
    icles
    0.79
    Activations Density 0.047%

    No Known Activations