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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. 7121
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    Explanations

    the word "signal" with varying activations

    oai_token-act-pair · gpt-3.5-turbo
    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
    sect
    -0.75
    spell
    -0.70
    erenn
    -0.66
    yright
    -0.66
    ttes
    -0.65
    venge
    -0.65
    shop
    -0.64
    sm
    -0.63
    uum
    -0.62
    ositories
    -0.61
    POSITIVE LOGITS
     emanating
    0.96
     amplification
    0.90
     signals
    0.86
     handlers
    0.86
     signal
    0.85
     emitted
    0.84
     strength
    0.83
     emitting
    0.83
     handler
    0.83
     propagation
    0.83
    Activations Density 0.045%

    No Known Activations