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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. 8-RES-JB
    11. 20288
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    Explanations

    phrases related to placing items in a physical setting

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cha
    -0.64
    lass
    -0.63
    ,...
    -0.62
    :(
    -0.59
    RM
    -0.58
    ,
    -0.57
    qv
    -0.57
     ;;
    -0.57
     (>
    -0.57
    -,
    -0.57
    POSITIVE LOGITS
     respectively
    0.94
    depending
    0.83
     depending
    0.81
     carbohyd
    0.68
     curfew
    0.59
     entrants
    0.57
    atever
    0.55
    OF
    0.54
     whichever
    0.54
     aspects
    0.53
    Activations Density 0.185%

    No Known Activations