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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. 14171
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    Explanations

    words related to appreciation and gratitude

    oai_token-act-pair · gpt-3.5-turbo

    references to gratitude and appreciation

    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
     utilizing
    -0.64
     finalized
    -0.63
     utilized
    -0.63
     enrollment
    -0.62
     transitioned
    -0.61
     labeled
    -0.61
     participated
    -0.60
     violating
    -0.59
     rotated
    -0.59
     baptized
    -0.58
    POSITIVE LOGITS
    ''.
    1.15
    .</
    1.04
    !".
    1.00
    '.
    0.99
    `.
    0.99
    }.
    0.99
    .''
    0.98
    ".
    0.97
    .}
    0.93
    '."
    0.93
    Activations Density 1.544%

    No Known Activations