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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3324
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    INDEX
    Explanations

    mentions of town hall meetings

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "town" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    positive
    -0.72
    uberty
    -0.69
    fen
    -0.68
    xual
    -0.66
    utic
    -0.66
    bian
    -0.66
    Wan
    -0.66
    nces
    -0.65
    argon
    -0.65
    hetic
    -0.64
    POSITIVE LOGITS
    folk
    1.22
    spe
    1.11
    houses
    1.10
    house
    1.02
    ships
    1.01
     halls
    0.97
     hall
    0.94
    scape
    0.91
    square
    0.89
    area
    0.88
    Activations Density 0.032%

    No Known Activations