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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. 2-RES-JB
    11. 18438
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    Explanations

    references to visual artwork or descriptions of people and objects in detail

    oai_token-act-pair · gpt-3.5-turbo

    mentions of portraits or depictions in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onge
    -0.79
    anwhile
    -0.75
    actic
    -0.72
    duct
    -0.72
    ERG
    -0.71
    source
    -0.70
    lower
    -0.70
    erg
    -0.70
    inki
    -0.69
    ells
    -0.68
    POSITIVE LOGITS
     portrait
    1.33
     portraits
    1.27
    raits
    1.18
    rait
    1.12
     Painting
    1.01
     painting
    0.96
     painter
    0.90
     paintings
    0.89
     photography
    0.86
     Photography
    0.84
    Activations Density 0.008%

    No Known Activations