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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. 6-RES-JB
    11. 11802
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    Explanations

    mentions of people's names in a formal context

    oai_token-act-pair · gpt-3.5-turbo

    colons indicating lists or enumerations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.84
     turbulence
    -0.76
     behav
    -0.75
     behavi
    -0.72
     pursu
    -0.72
    undai
    -0.69
    ilater
    -0.67
     troubles
    -0.65
     overl
    -0.64
     padd
    -0.64
    POSITIVE LOGITS
     Yeah
    0.90
     Who
    0.84
     Rise
    0.82
     Bringing
    0.82
     Cosponsors
    0.81
     Reloaded
    0.79
    YES
    0.79
     Join
    0.78
     Provided
    0.77
     Originally
    0.76
    Activations Density 0.086%

    No Known Activations