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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
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    Explanations

    references to the reader

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Reader" in various forms and frequencies

    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
    senal
    -0.77
    gypt
    -0.73
     corrid
    -0.71
    ering
    -0.67
    laus
    -0.66
    chwitz
    -0.65
    ceed
    -0.64
    itol
    -0.64
    rals
    -0.63
    eton
    -0.63
    POSITIVE LOGITS
     Reader
    1.11
     reader
    1.05
    Reader
    0.91
    verse
    0.84
    boys
    0.83
     Readers
    0.78
    friend
    0.75
    sonian
    0.74
     beware
    0.74
    boy
    0.74
    Activations Density 0.007%

    No Known Activations