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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. 1-RES-JB
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    Explanations

    proper nouns related to locations, people, and events

    oai_token-act-pair · gpt-3.5-turbo

    the term "Standing Rock" and its associations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ECD
    -0.73
    utenberg
    -0.73
    ahime
    -0.72
     Rove
    -0.72
    0200
    -0.70
    ret
    -0.69
    gran
    -0.68
    rh
    -0.67
    escal
    -0.67
    BIP
    -0.67
    POSITIVE LOGITS
     Standing
    1.42
    Standing
    0.82
     Peoples
    0.78
     Committees
    0.78
     Hearing
    0.73
    stairs
    0.73
     Checks
    0.72
     Feet
    0.72
     Halls
    0.71
     Patriarch
    0.70
    Activations Density 0.024%

    No Known Activations