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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. 7-RES-JB
    11. 24200
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    Explanations

    morning-related events or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to the morning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    obal
    -0.85
    pmwiki
    -0.83
    adr
    -0.81
    ssl
    -0.76
    eva
    -0.76
    egal
    -0.75
    essee
    -0.74
    ategory
    -0.74
    oided
    -0.74
    onduct
    -0.73
    POSITIVE LOGITS
     commute
    0.91
     mornings
    0.87
    dream
    0.85
     fog
    0.84
     sickness
    0.83
     morning
    0.79
    noon
    0.76
     dawn
    0.75
     sunrise
    0.73
     reception
    0.71
    Activations Density 0.037%

    No Known Activations