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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. 6-RES-JB
    11. 9605
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    INDEX
    Explanations

    references to physical locations or destinations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "stop" 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
    ighth
    -0.80
    yss
    -0.77
    uth
    -0.73
    ipedia
    -0.70
    rity
    -0.70
    aths
    -0.69
    umbered
    -0.68
     suscept
    -0.68
     abund
    -0.67
    issance
    -0.65
    POSITIVE LOGITS
    gap
    1.02
    watch
    0.97
    oppers
    0.81
    opping
    0.74
     shop
    0.72
    reon
    0.72
    watching
    0.72
    overs
    0.70
     bothering
    0.69
    ãĥ³
    0.69
    Activations Density 0.018%

    No Known Activations