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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. 7-RES-JB
    11. 18757
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    Explanations

    mentions of specific details or information within longer texts

    oai_token-act-pair · gpt-3.5-turbo

    references to articles and documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atics
    -0.77
    alties
    -0.68
     headquartered
    -0.68
    .-
    -0.67
     besides
    -0.67
    ampires
    -0.61
    landers
    -0.61
    grown
    -0.61
    arians
    -0.61
    atus
    -0.60
    POSITIVE LOGITS
     entirety
    0.94
     article
    0.88
     midst
    0.86
     aforementioned
    0.84
     context
    0.82
     manner
    0.80
     guise
    0.78
     outset
    0.78
     journal
    0.77
     respective
    0.77
    Activations Density 0.317%

    No Known Activations