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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. 13408
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    Explanations

    names of specific individuals, likely related to discussing topics

    oai_token-act-pair · gpt-3.5-turbo

    names of people and organizations involved in discussions or events

    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
    Move
    -0.67
     sue
    -0.65
    $$$$
    -0.64
    Torrent
    -0.63
     revenge
    -0.63
    Save
    -0.61
    Writ
    -0.60
     landfall
    -0.60
     ruining
    -0.59
    gency
    -0.59
    POSITIVE LOGITS
     discussed
    1.48
     talked
    1.36
     emphasized
    1.32
     reiterated
    1.29
     grilled
    1.22
     spoke
    1.20
     recounted
    1.19
     explained
    1.18
     relayed
    1.17
     outlined
    1.17
    Activations Density 0.358%

    No Known Activations