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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. 7087
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    Explanations

    introductory phrases introducing a specific point or topic

    oai_token-act-pair · gpt-3.5-turbo

    phrases that start with "This" and indicate statements or observations

    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
     goto
    -0.66
     Oo
    -0.56
     orbs
    -0.55
     etc
    -0.54
    aiman
    -0.53
     xp
    -0.53
     athe
    -0.52
     laz
    -0.52
     Vita
    -0.51
     snipp
    -0.51
    POSITIVE LOGITS
    [/
    1.04
    resa
    0.90
    .""
    0.89
    odore
    0.88
    vernment
    0.86
    anmar
    0.82
    alyst
    0.79
    govtrack
    0.77
    andum
    0.77
    mosp
    0.76
    Activations Density 0.263%

    No Known Activations