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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 9615
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    INDEX
    Explanations

    spots or locations within a context, possibly related to placement or availability

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or spots

    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
    yss
    -0.76
    issance
    -0.76
    externalActionCode
    -0.67
     consortium
    -0.65
    RR
    -0.64
    annis
    -0.64
    ISE
    -0.62
     backbone
    -0.62
     restraint
    -0.62
    IFE
    -0.61
    POSITIVE LOGITS
    pots
    1.35
     spots
    1.15
    lights
    1.13
    hips
    1.02
    bos
    0.90
    lot
    0.88
    pread
    0.88
    hot
    0.88
    hots
    0.84
    coins
    0.83
    Activations Density 0.007%

    No Known Activations