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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. 1293
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    images in a document

    oai_token-act-pair · gpt-3.5-turbo

    references to images and visual content

    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
    cot
    -0.77
     Parties
    -0.72
    cible
    -0.72
    Relations
    -0.70
    tten
    -0.68
    iably
    -0.67
    blank
    -0.65
    Corp
    -0.65
    Aff
    -0.65
    asers
    -0.65
    POSITIVE LOGITS
     toggle
    1.03
     Mehran
    0.76
     NASA
    0.74
     Courtesy
    0.74
     depiction
    0.71
    dayName
    0.69
     AMC
    0.68
     caption
    0.66
     microscope
    0.63
    NASA
    0.63
    Activations Density 0.017%

    No Known Activations