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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. 4-RES-JB
    11. 12508
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    Explanations

    words related to spatial location or direction

    oai_token-act-pair · gpt-3.5-turbo

    references to visual elements or information provided in preceding sections of the text

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

    No Comments

    Negative Logits
     CTR
    -0.68
    okin
    -0.68
     Centers
    -0.68
    Ring
    -0.64
    ãĥı
    -0.61
    Introduced
    -0.61
    gm
    -0.61
    okes
    -0.59
    rol
    -0.59
    essed
    -0.58
    POSITIVE LOGITS
    above
    0.91
    mentioned
    0.87
    ground
    0.85
    below
    0.81
    perty
    0.78
     mentioned
    0.75
     above
    0.74
    uckland
    0.72
     below
    0.67
    =#
    0.66
    Activations Density 0.017%

    No Known Activations