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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. 3-RES-JB
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    Explanations

    information, secrets, or exclusive details

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "scoop" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    senal
    -0.68
    audi
    -0.68
    TERN
    -0.67
     livest
    -0.65
    idency
    -0.65
    repeat
    -0.65
    semble
    -0.64
    lihood
    -0.64
     generals
    -0.60
    usable
    -0.60
    POSITIVE LOGITS
     scoop
    1.14
    iness
    0.86
    Ń·
    0.85
    sters
    0.84
    feed
    0.84
    hest
    0.84
    oops
    0.80
    ilus
    0.79
    sheet
    0.78
    ily
    0.78
    Activations Density 0.007%

    No Known Activations