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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. 7-RES-JB
    11. 17816
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    Explanations

    phrases related to frequency of actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of frequency and repetition in actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     FANTASY
    -0.62
    arde
    -0.62
    BSD
    -0.62
     Examiner
    -0.62
    eele
    -0.61
     Documents
    -0.61
    anson
    -0.60
     liner
    -0.60
    FORMATION
    -0.60
     Sexy
    -0.59
    POSITIVE LOGITS
     consecut
    0.94
    aiman
    0.73
    hur
    0.70
    xes
    0.69
    fold
    0.68
    numbered
    0.68
    zon
    0.68
    desktop
    0.68
     imaginable
    0.66
    Lex
    0.66
    Activations Density 0.181%

    No Known Activations