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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. 4-RES-JB
    11. 14730
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    Explanations

    names of countries and political figures

    oai_token-act-pair · gpt-3.5-turbo

    multiple instances of conjunctions connecting lists or series

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

    No Comments

    Negative Logits
    GW
    -0.72
    odcast
    -0.70
    ="#
    -0.67
    edia
    -0.62
    :"
    -0.62
    !:
    -0.60
    :(
    -0.59
    CLAIM
    -0.58
    itative
    -0.55
    BAT
    -0.54
    POSITIVE LOGITS
     consequently
    0.93
    romeda
    0.91
    rogens
    0.91
     respectively
    0.90
     secondly
    0.85
     thereafter
    0.82
     etc
    0.81
     furthermore
    0.80
    rogen
    0.80
    etc
    0.79
    Activations Density 0.498%

    No Known Activations