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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. 3-RES-JB
    11. 4466
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to rephrasing and wording adjustments in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elsen
    -0.84
    ships
    -0.76
    Dash
    -0.74
    ship
    -0.70
    vals
    -0.70
    itness
    -0.68
    oga
    -0.67
    drivers
    -0.66
    Ĥª
    -0.65
     hubs
    -0.65
    POSITIVE LOGITS
     wording
    1.05
     ambig
    0.88
     phr
    0.86
     paraph
    0.84
     misunderstand
    0.81
     sarc
    0.81
     typo
    0.76
     question
    0.74
     ambiguous
    0.74
    matical
    0.73
    Activations Density 0.027%

    No Known Activations