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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. 17439
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    Explanations

    terms related to the surroundings or environment

    oai_token-act-pair · gpt-3.5-turbo

    references to the environment and possessions

    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
    onomy
    -0.76
    ital
    -0.71
    idine
    -0.67
    ASS
    -0.65
    rop
    -0.65
    aceous
    -0.64
    lic
    -0.64
     deduct
    -0.63
     lease
    -0.62
    ttle
    -0.62
    POSITIVE LOGITS
    cape
    0.95
     Primordial
    0.78
     Sparks
    0.77
     Staples
    0.75
    pread
    0.73
    creen
    0.73
     Inferno
    0.69
    scape
    0.69
    omething
    0.68
     IMAGES
    0.68
    Activations Density 0.021%

    No Known Activations