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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. 11-RES-JB
    11. 24128
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    Explanations

    textual cues to infer contrasting or opposing ideas

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and sentence-ending structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     accomp
    -0.75
     unsus
    -0.68
     undet
    -0.65
     unknown
    -0.64
     defe
    -0.64
     unsolved
    -0.63
     culmin
    -0.63
     describ
    -0.63
     unseen
    -0.62
     tremend
    -0.62
    POSITIVE LOGITS
     Rather
    2.02
     Instead
    1.74
    Rather
    1.59
     Nor
    1.54
     Quite
    1.48
     Nope
    1.39
    Instead
    1.39
    rather
    1.17
     Neither
    1.13
     It
    1.10
    Activations Density 0.262%

    No Known Activations