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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. 8-RES-JB
    11. 4033
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    Explanations

    numerical codes and technical identifiers

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers or codes, likely related to data formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     abstinence
    -0.71
    ties
    -0.65
    FontSize
    -0.64
    itaire
    -0.62
     acquaintance
    -0.61
    ling
    -0.60
    istance
    -0.60
    lings
    -0.59
    '?
    -0.58
     ana
    -0.58
    POSITIVE LOGITS
    sbm
    1.03
    MSN
    0.94
    channelAvailability
    0.94
    crop
    0.68
     Reserved
    0.66
     Frames
    0.66
    ãĥĻ
    0.63
    Downloadha
    0.62
     Ranch
    0.62
    cro
    0.62
    Activations Density 0.134%

    No Known Activations