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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. 6110
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    Explanations

    phrases describing entrance or involvement in various scenarios or contexts

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "the" followed by various contexts or subjects related to actions 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
    mates
    -0.84
    LESS
    -0.71
    picked
    -0.68
    PsyNetMessage
    -0.68
    rand
    -0.65
    IPP
    -0.64
    shown
    -0.64
    ques
    -0.64
    PI
    -0.62
    onne
    -0.62
    POSITIVE LOGITS
     fray
    1.81
     realm
    1.11
     bloodstream
    1.09
     fold
    1.02
     groove
    1.02
     midst
    1.02
     abyss
    1.01
     vortex
    1.01
     strat
    0.95
     trap
    0.94
    Activations Density 0.138%

    No Known Activations