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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. 3803
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    INDEX
    Explanations

    phrases related to famous or mythical figures

    oai_token-act-pair · gpt-3.5-turbo

    references to legends or legendary figures

    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
    abus
    -0.77
     Parenthood
    -0.75
    pex
    -0.73
    zers
    -0.72
    orneys
    -0.72
    chens
    -0.69
    tan
    -0.69
    arling
    -0.67
    artment
    -0.66
    uters
    -0.65
    POSITIVE LOGITS
    arily
    1.10
    Legend
    0.87
    arium
    0.84
     tales
    0.81
    naire
    0.79
    lore
    0.79
     Legend
    0.77
     Frieza
    0.76
     legends
    0.75
     Incarn
    0.74
    Activations Density 0.022%

    No Known Activations