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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. 2-RES-JB
    11. 16359
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    INDEX
    Explanations

    mentions of different formats such as digital, book, live, and TV

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of formats or structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roma
    -0.91
    riv
    -0.78
    yer
    -0.74
    ortium
    -0.74
    undai
    -0.71
    adows
    -0.71
    ffic
    -0.70
    rogen
    -0.67
    lu
    -0.67
    minent
    -0.67
    POSITIVE LOGITS
     format
    1.13
     Format
    1.00
     formats
    0.94
    ters
    0.92
    format
    0.92
    Format
    0.88
     formatted
    0.86
    atted
    0.84
    FORM
    0.74
    furt
    0.73
    Activations Density 0.011%

    No Known Activations