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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. 4755
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    Explanations

    words related to abundance or intensity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "full" in various contexts

    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
    pher
    -0.71
    apters
    -0.66
    enegger
    -0.65
    osen
    -0.65
    ovie
    -0.64
    aceae
    -0.62
    ovan
    -0.61
    herty
    -0.60
    ivas
    -0.59
    hester
    -0.59
    POSITIVE LOGITS
     throttle
    0.97
    erton
    0.96
     frontal
    0.91
    screen
    0.89
    swing
    0.84
    fill
    0.83
     disclosure
    0.81
    width
    0.80
     fled
    0.80
     tilt
    0.80
    Activations Density 0.031%

    No Known Activations