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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. 11795
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    Explanations

    references to recent events or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "recent" and its variations

    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
    claimer
    -0.91
    umes
    -0.76
    wright
    -0.75
    amina
    -0.75
    afort
    -0.74
    ealing
    -0.74
     presently
    -0.73
    requires
    -0.72
    utm
    -0.70
    anding
    -0.69
    POSITIVE LOGITS
     spate
    1.01
     additions
    0.97
     arrivals
    0.96
     developments
    0.94
     arrival
    0.86
     uptick
    0.85
     revelations
    0.83
     episode
    0.81
     afternoon
    0.80
     morning
    0.79
    Activations Density 0.028%

    No Known Activations