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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. 6-RES-JB
    11. 2602
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    Explanations

    adverbs indicating a high degree of intensity or completeness

    oai_token-act-pair · gpt-3.5-turbo

    adverbs and phrases indicating thoroughness or improvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammy
    -0.80
    anty
    -0.73
    Pod
    -0.66
     DRAG
    -0.66
    yg
    -0.64
    adish
    -0.64
    opter
    -0.64
    erie
    -0.64
     Ki
    -0.61
     Bounce
    -0.61
    POSITIVE LOGITS
    aneously
    0.89
    ilaterally
    0.80
     intact
    0.74
     cheaply
    0.73
     differently
    0.71
     offshore
    0.69
    onto
    0.69
    handedly
    0.68
     outweigh
    0.68
     before
    0.65
    Activations Density 0.313%

    No Known Activations