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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. 4005
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    Explanations

    verbs related to achieving victory or success

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to achieving victory or success

    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
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    Negative Logits
     Uz
    -0.69
    umn
    -0.68
    alam
    -0.68
    bian
    -0.66
    urches
    -0.63
     Dwell
    -0.62
    Dub
    -0.61
    bians
    -0.61
    rouch
    -0.61
    erity
    -0.60
    POSITIVE LOGITS
    now
    0.83
    iem
    0.77
    ners
    0.75
    throp
    0.71
    riors
    0.68
    escape
    0.68
    nings
    0.68
     trophies
    0.68
    stroke
    0.68
    ces
    0.66
    Activations Density 0.035%

    No Known Activations