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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. 6-RES-JB
    11. 13949
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    Explanations

    statements indicating clarity or certainty

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "clear."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umbn
    -0.77
    avorite
    -0.76
    OVA
    -0.76
    izons
    -0.70
    alez
    -0.69
    otos
    -0.65
    atri
    -0.65
    aven
    -0.65
    uits
    -0.64
    unte
    -0.64
    POSITIVE LOGITS
     enough
    0.80
    aneously
    0.77
    footed
    0.72
     chronological
    0.71
     sailing
    0.68
     underest
    0.66
     ($)
    0.66
     why
    0.64
    URE
    0.64
     how
    0.63
    Activations Density 0.025%

    No Known Activations