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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. 465
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    ATURE
    -0.72
    nesty
    -0.72
    ta
    -0.71
    atum
    -0.68
    endar
    -0.67
    ator
    -0.64
    dust
    -0.64
    ablishment
    -0.63
    Kings
    -0.63
    ater
    -0.63
    POSITIVE LOGITS
    ioned
    1.07
     adolesc
    0.92
    icult
    0.89
     terrain
    0.79
     unsolved
    0.77
    acters
    0.77
     burdens
    0.74
    nesses
    0.74
     forgiving
    0.72
     task
    0.71
    Activations Density 0.035%

    No Known Activations