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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. 6-RES-JB
    11. 24424
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    Explanations

    words related to sports teams or competitions

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and roles related to teams or groups in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.68
    rontal
    -0.65
    gart
    -0.64
    nown
    -0.63
    ezvous
    -0.60
    idelines
    -0.60
    illes
    -0.60
    illon
    -0.59
    skirts
    -0.59
     Correct
    -0.58
    POSITIVE LOGITS
     sake
    1.00
     purposes
    0.90
    esters
    0.76
    abet
    0.74
     reasons
    0.74
    erning
    0.73
    payers
    0.73
     aspiring
    0.73
    ankind
    0.69
     lovers
    0.67
    Activations Density 0.706%

    No Known Activations