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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. 10-RES-JB
    11. 8038
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    Explanations

    dates and events in relation to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of significant events and their temporal context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     persever
    -0.81
    Õ
    -0.69
     flexibility
    -0.66
     impunity
    -0.65
     variety
    -0.64
    eret
    -0.63
     inconsist
    -0.62
     somew
    -0.61
     backwards
    -0.61
    netflix
    -0.60
    POSITIVE LOGITS
     scheduled
    0.99
     fateful
    0.89
     inauguration
    0.87
     inaug
    0.86
     announced
    0.86
     anniversary
    0.85
     arrival
    0.84
    expected
    0.83
     landfall
    0.81
     debuted
    0.81
    Activations Density 0.199%

    No Known Activations