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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. 17755
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    Explanations

    mentions of specific political figures, particularly related to government actions and statements

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "House" or "Senate" indicating political context

    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
     checkpoint
    -0.72
     Darwin
    -0.70
     radial
    -0.67
     value
    -0.67
     lateral
    -0.66
     evaluation
    -0.65
     athe
    -0.64
     distances
    -0.64
     tal
    -0.63
     doping
    -0.63
    POSITIVE LOGITS
    House
    3.74
    house
    2.06
    Senate
    2.00
     HOUSE
    2.00
     House
    1.79
    houses
    1.65
    HOU
    1.59
     Houses
    1.45
    Republicans
    1.42
    Room
    1.35
    Activations Density 0.014%

    No Known Activations