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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. 11-RES-JB
    11. 9363
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    Explanations

    obscured by the irregularities in the data; no clear pattern emerges

    oai_token-act-pair · gpt-3.5-turbo

    instances of high emotional intensity or excitement in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -0.84
    senal
    -0.67
     pione
    -0.66
     carbohyd
    -0.65
    aditional
    -0.63
     occas
    -0.62
     newcom
    -0.62
    Þ
    -0.62
    ThumbnailImage
    -0.60
     citiz
    -0.59
    POSITIVE LOGITS
    Brave
    0.74
    ↵
    0.67
    Reward
    0.66
    ³³³
    0.65
    Round
    0.64
    Wide
    0.63
    Spread
    0.63
    akable
    0.62
    Demand
    0.62
    Tomorrow
    0.62
    Activations Density 0.138%

    No Known Activations