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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. 8-RES-JB
    11. 8589
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    Explanations

    phrases related to the location or timing of events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "take" and its variations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     agre
    -0.67
    holm
    -0.66
    ateg
    -0.66
    vine
    -0.63
    bach
    -0.63
    idding
    -0.63
    raid
    -0.62
    luaj
    -0.59
     Smile
    -0.58
     Honest
    -0.57
    POSITIVE LOGITS
     precedence
    1.24
     advantage
    1.04
     place
    1.04
    aways
    1.02
     care
    0.88
     pains
    0.82
    overs
    0.81
     aback
    0.74
    >[
    0.74
     awhile
    0.73
    Activations Density 0.079%

    No Known Activations