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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. 1-RES-JB
    11. 21312
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    Explanations

    specific details or information provided within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote inclusion or specification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cel
    -0.85
    ocratic
    -0.79
    ule
    -0.66
    elling
    -0.66
    uer
    -0.64
    aths
    -0.64
     flight
    -0.63
     planes
    -0.62
     distant
    -0.61
     closer
    -0.60
    POSITIVE LOGITS
    foundland
    1.06
    ãĥ¯ãĥ³
    1.02
    ãĤ´ãĥ³
    1.02
    including
    0.97
    theless
    0.95
    minus
    0.92
    ãĤ¨ãĥ«
    0.89
    swick
    0.88
    ãĥĥãĥī
    0.84
    ãĥ´
    0.84
    Activations Density 0.018%

    No Known Activations