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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. 5440
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    Explanations

    adjectives indicating intensity or extremity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "st" in various forms

    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
    hower
    -0.74
     friendly
    -0.65
     Republic
    -0.60
    iferation
    -0.60
    ãģ®éŃĶ
    -0.60
    EStream
    -0.59
     carriers
    -0.59
     thumbs
    -0.58
     chronological
    -0.57
     Delete
    -0.57
    POSITIVE LOGITS
    inky
    1.20
    itched
    1.19
    onew
    1.18
    alker
    1.18
    ifling
    1.16
    roller
    1.14
    uffed
    1.13
    oried
    1.12
    umbles
    1.09
    inging
    1.07
    Activations Density 0.023%

    No Known Activations