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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
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    Explanations

    occurrences of the word "fork" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "fork" in various contexts

    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
    MSN
    -0.69
    aspx
    -0.69
     Honour
    -0.68
    useum
    -0.64
    average
    -0.63
    hem
    -0.61
    avid
    -0.61
    DEF
    -0.61
    awks
    -0.60
    chemical
    -0.59
    POSITIVE LOGITS
    lift
    1.29
     fork
    1.22
     forks
    1.03
    fork
    0.94
    edIn
    0.80
     Fork
    0.79
     straw
    0.78
     frying
    0.76
     sacrific
    0.76
    hyde
    0.73
    Activations Density 0.009%

    No Known Activations