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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. 7-RES-JB
    6. 16615
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    Explanations

    numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and expressions related to programming or data structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ierrez
    -0.82
    anooga
    -0.78
     ultras
    -0.76
    undai
    -0.72
    accompan
    -0.71
     spons
    -0.69
    abwe
    -0.69
     Beir
    -0.68
     hemor
    -0.68
    raviolet
    -0.67
    POSITIVE LOGITS
    0000
    1.13
    000000
    1.11
    00
    1.08
    00000
    1.06
    xx
    1.02
    67
    1.00
    45
    0.98
    00000000
    0.97
    9999
    0.97
    456
    0.97
    Activations Density 0.175%

    No Known Activations