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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. 9-RES-JB
    11. 19608
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    Explanations

    references to computer scripts or coding

    oai_token-act-pair · gpt-3.5-turbo

    references to scripts or screenplay elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abouts
    -0.66
     Geh
    -0.65
     Gallup
    -0.64
     Dew
    -0.64
    ktop
    -0.63
     Fasc
    -0.63
    phia
    -0.62
     tide
    -0.62
     Cause
    -0.60
     Psychiat
    -0.59
    POSITIVE LOGITS
    ural
    1.21
    writers
    1.17
    writer
    1.16
    writing
    1.08
    urally
    0.98
    Pub
    0.93
    abal
    0.84
     interpreter
    0.82
    smanship
    0.82
    scripts
    0.82
    Activations Density 0.040%

    No Known Activations