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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 15740
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to domestic issues or themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     slots
    -0.67
     Doors
    -0.66
     slot
    -0.65
     Isle
    -0.60
     reckoning
    -0.60
     Luck
    -0.59
     unfortunate
    -0.58
     gravy
    -0.58
     exploration
    -0.58
     worth
    -0.57
    POSITIVE LOGITS
    estic
    4.94
    berra
    1.20
    estine
    1.01
    othy
    1.00
    est
    1.00
     Domestic
    1.00
    ests
    1.00
    oultry
    0.98
    esty
    0.97
    inant
    0.92
    Activations Density 0.012%

    No Known Activations