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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. 13665
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    INDEX
    Explanations

    positive attributes or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    evaluative adjectives describing quality or performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    agine
    -0.68
    aires
    -0.68
    hak
    -0.65
    dor
    -0.64
    OPLE
    -0.61
     surn
    -0.59
    Tumblr
    -0.58
    hedon
    -0.58
    onym
    -0.58
    ãĥĺãĥ©
    -0.58
    POSITIVE LOGITS
     except
    0.97
     compared
    0.83
     alright
    0.83
     throughout
    0.82
     albeit
    0.80
     paced
    0.78
     despite
    0.78
    luster
    0.77
     overall
    0.77
     indeed
    0.76
    Activations Density 0.213%

    No Known Activations