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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. 10-RES-JB
    11. 12675
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    INDEX
    Explanations

    familiar and common phrases

    oai_token-act-pair · gpt-3.5-turbo

    the concept of familiarity or recognition in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ignt
    -0.85
    rators
    -0.82
    gur
    -0.80
    erity
    -0.77
    vere
    -0.75
    ument
    -0.75
    aucus
    -0.75
    endment
    -0.75
    mpeg
    -0.74
    aughters
    -0.73
    POSITIVE LOGITS
    isable
    1.16
     faces
    1.14
    ised
    0.93
    ity
    0.92
     Faces
    0.91
     face
    0.90
    izable
    0.90
    izing
    0.88
    ized
    0.87
     haun
    0.83
    Activations Density 0.034%

    No Known Activations