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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. 7596
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    Explanations

    photographs or images referenced in a text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Photo"

    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
    uckle
    -0.84
    resses
    -0.80
    adden
    -0.79
    oler
    -0.78
    urn
    -0.76
    iazep
    -0.75
    astically
    -0.74
    ought
    -0.71
    unta
    -0.71
    ule
    -0.70
    POSITIVE LOGITS
     Photo
    1.04
     Photographer
    1.01
     Album
    0.95
     Thumbnails
    0.92
     Gallery
    0.92
     Credit
    0.88
    journal
    0.88
     Credits
    0.87
     Editing
    0.81
    photo
    0.81
    Activations Density 0.017%

    No Known Activations