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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. 1012
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    Explanations

    words related to urban environments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to urban environments and infrastructure

    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
    creen
    -0.84
    aurus
    -0.79
    xon
    -0.73
    CHR
    -0.70
    lder
    -0.69
    ippi
    -0.68
    prus
    -0.68
    zona
    -0.67
    ertodd
    -0.66
    xit
    -0.66
    POSITIVE LOGITS
    urb
    1.00
    ulent
    0.92
    inators
    0.91
    abies
    0.91
    ulence
    0.91
    inator
    0.86
    inson
    0.84
    inating
    0.75
    idge
    0.75
    ruary
    0.75
    Activations Density 0.022%

    No Known Activations