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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. 4949
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    Explanations

    phrases indicating a level of significance or extreme emotion, often expressing personal opinions or experiences

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express a ranked assessment or comparison

    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
    leeve
    -0.80
    isition
    -0.75
    vernment
    -0.75
    osi
    -0.70
    lees
    -0.70
    ensen
    -0.66
    zeb
    -0.66
    ework
    -0.65
    anse
    -0.63
    kowski
    -0.62
    POSITIVE LOGITS
     those
    1.14
     many
    0.93
    those
    0.92
     my
    0.80
     countless
    0.79
     ours
    0.78
     several
    0.77
     innumerable
    0.73
     few
    0.71
     strang
    0.71
    Activations Density 0.050%

    No Known Activations