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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. 9-RES-JB
    11. 17952
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    Explanations

    words related to technical or specialized topics

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to various topics and categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Hig
    -0.77
     Hills
    -0.68
    ãĥį
    -0.68
     Stream
    -0.67
    Witness
    -0.67
    Loop
    -0.67
    Finish
    -0.66
     Canal
    -0.66
    Lear
    -0.64
    Aud
    -0.63
    POSITIVE LOGITS
    paces
    1.40
    hips
    1.27
    hip
    1.24
    ynthesis
    1.17
    etting
    1.15
     everywhere
    1.09
    mith
    1.07
    ystem
    1.04
    pace
    1.04
    ervatives
    1.03
    Activations Density 0.451%

    No Known Activations