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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. 15444
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    Explanations

    phrases related to loss or lack

    oai_token-act-pair · gpt-3.5-turbo

    words related to phrasing, bereavement, and specific place names or identifiers

    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
    sters
    -0.80
    ious
    -0.80
    istry
    -0.79
    gers
    -0.78
    shire
    -0.78
    istries
    -0.76
    rament
    -0.75
    issance
    -0.73
    ers
    -0.73
    ione
    -0.72
    POSITIVE LOGITS
     Kessler
    0.81
    GoldMagikarp
    0.74
    phe
    0.72
    pheus
    0.68
    phia
    0.68
    kHz
    0.67
    abwe
    0.67
     tob
    0.65
    essage
    0.64
     Ard
    0.64
    Activations Density 0.025%

    No Known Activations