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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. 6479
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    INDEX
    Explanations

    phrases relating to the framing or presentation of a situation or information

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "framed" and its variations

    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
    onge
    -0.80
    andowski
    -0.77
    issy
    -0.69
    sen
    -0.68
    bos
    -0.67
    tical
    -0.66
    AE
    -0.66
    ologically
    -0.65
    scar
    -0.64
    reg
    -0.63
    POSITIVE LOGITS
     framed
    1.40
     framing
    1.06
    eering
    0.86
     frames
    0.83
     misunder
    0.77
    folios
    0.77
    ocument
    0.76
     Frames
    0.76
    fram
    0.74
    allery
    0.73
    Activations Density 0.010%

    No Known Activations