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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. 6-RES-JB
    11. 15134
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    Explanations

    ways or methods to achieve a specific goal

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express methods or strategies for problem-solving

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     livest
    -0.81
    usters
    -0.81
    ewitness
    -0.75
    etheus
    -0.75
    uster
    -0.73
    inately
    -0.72
    agonists
    -0.69
    eatures
    -0.65
    asts
    -0.65
    querque
    -0.64
    POSITIVE LOGITS
    fare
    0.79
    ward
    0.76
    forward
    0.73
     somew
    0.73
    Streamer
    0.68
    DragonMagazine
    0.67
    finder
    0.66
    frame
    0.66
    point
    0.65
    place
    0.65
    Activations Density 0.036%

    No Known Activations