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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. 0-RES-JB
    11. 13338
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to effective results or insights drawn from information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bi
    -0.76
     Bio
    -0.72
     magn
    -0.69
     sworn
    -0.67
     CV
    -0.66
     Nobel
    -0.66
     vice
    -0.66
     bowel
    -0.66
     degree
    -0.63
     Pic
    -0.61
    POSITIVE LOGITS
    aways
    4.51
    abouts
    1.33
    away
    1.15
    breakers
    1.12
    offs
    1.10
    aneers
    1.06
    itans
    1.03
    backs
    1.02
    liners
    1.01
    estones
    1.00
    Activations Density 0.010%

    No Known Activations