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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. 4997
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    INDEX
    Explanations

    words related to publishing formats and organizational areas

    oai_token-act-pair · gpt-3.5-turbo

    references to specific ratings or classifications for content, particularly those related to film or media

    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
    ãĥĻ
    -0.81
    anism
    -0.79
    rawdownloadcloneembedreportprint
    -0.77
    Compat
    -0.75
    fare
    -0.70
    kins
    -0.68
    deals
    -0.68
    à¼
    -0.67
     sights
    -0.67
     Mellon
    -0.66
    POSITIVE LOGITS
    omez
    1.14
     SG
    1.01
     PF
    0.89
     PG
    0.88
     suspic
    0.84
    erm
    0.80
    ogie
    0.78
    YL
    0.76
    oses
    0.75
    ueless
    0.75
    Activations Density 0.016%

    No Known Activations