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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. 11-RES-JB
    11. 1195
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    Explanations

    terms related to locations or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe emotional or situational reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     [+
    -0.88
    Additionally
    -0.82
    Recommend
    -0.80
    uggest
    -0.77
    FY
    -0.75
     Secondly
    -0.73
     Allows
    -0.72
     Suggest
    -0.72
    Regarding
    -0.71
    topic
    -0.70
    POSITIVE LOGITS
     dusk
    1.13
     tears
    1.04
     midday
    0.97
     bustling
    0.96
     perched
    0.94
     dawn
    0.93
     towering
    0.93
     trembling
    0.92
     frail
    0.91
     gloom
    0.90
    Activations Density 0.788%

    No Known Activations