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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. 3314
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    INDEX
    Explanations

    mentions of time-related information and schedules

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial figures

    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
    conservancy
    -0.72
    minecraft
    -0.63
     execut
    -0.61
     vend
    -0.60
    netflix
    -0.60
     backbone
    -0.59
    acco
    -0.58
    umblr
    -0.58
     feces
    -0.57
     independ
    -0.57
    POSITIVE LOGITS
     UPDATE
    0.84
     GMT
    0.76
     EDT
    0.75
     ::
    0.74
    POR
    0.73
     GOODMAN
    0.72
     Recap
    0.72
     QUEST
    0.72
     CONTIN
    0.71
    PM
    0.71
    Activations Density 0.134%

    No Known Activations