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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. 1-RES-JB
    11. 5258
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    Explanations

    phrases related to programming languages and platforms

    oai_token-act-pair · gpt-3.5-turbo

    words related to various types of "ators," indicating a focus on specific roles or functions within a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    printed
    -0.74
    formed
    -0.73
    giving
    -0.71
    practice
    -0.70
    earchers
    -0.68
    rought
    -0.65
    PE
    -0.62
    fits
    -0.62
    comb
    -0.61
    lished
    -0.61
    POSITIVE LOGITS
    ator
    1.22
    ators
    1.09
    ATOR
    0.84
    ially
    0.83
    ibles
    0.83
    inator
    0.79
    ative
    0.79
    icons
    0.78
    atorial
    0.77
    iator
    0.76
    Activations Density 0.014%

    No Known Activations