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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. 21800
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    Explanations

    words or phrases related to reaching a peak or final stage

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to significant events or outcomes

    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
     Neighbor
    -0.89
    bel
    -0.79
    pel
    -0.76
    vag
    -0.74
    away
    -0.73
    fing
    -0.71
    agg
    -0.70
    nery
    -0.70
    eling
    -0.70
     uninsured
    -0.70
    POSITIVE LOGITS
     culminating
    1.32
     culmin
    1.13
     culminated
    1.08
     culmination
    0.97
     climax
    0.94
     mathemat
    0.86
    ĸļ
    0.85
    WithNo
    0.77
    actionDate
    0.76
    SourceFile
    0.76
    Activations Density 0.017%

    No Known Activations