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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. 9917
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    Explanations

    titles and references of various entities such as companies, movies, and people

    oai_token-act-pair · gpt-3.5-turbo

    references to titles of works or entities

    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
     mould
    -0.64
    ccording
    -0.63
     loft
    -0.61
    »Ĵ
    -0.59
     mosqu
    -0.56
     anchored
    -0.55
     ensu
    -0.55
     tremend
    -0.54
    ĸļ士
    -0.53
    everal
    -0.53
    POSITIVE LOGITS
    }.
    1.24
    .]
    1.12
    .''.
    0.99
    _.
    0.97
    >.
    0.97
    .}
    0.95
    ().
    0.95
    .</
    0.95
    };
    0.95
    ].
    0.94
    Activations Density 0.837%

    No Known Activations