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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. 21082
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    Explanations

    phrases where there is a strong opinion expressed

    oai_token-act-pair · gpt-3.5-turbo

    the word "which" 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
    Behind
    -0.66
    Gy
    -0.65
    belt
    -0.63
    hat
    -0.63
    Bas
    -0.63
    rollers
    -0.61
    let
    -0.60
    ben
    -0.60
    bug
    -0.59
    pad
    -0.59
    POSITIVE LOGITS
    soever
    1.05
    akespeare
    0.80
    xual
    0.80
     contrasts
    0.79
    chwitz
    0.71
    ornia
    0.71
    ĸļ
    0.70
    psons
    0.69
     resulted
    0.68
     specializes
    0.66
    Activations Density 0.112%

    No Known Activations