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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. 7-RES-JB
    11. 7802
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    Explanations

    organizations, sports teams, and sports events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports organizations and competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ħĭ
    -0.87
    ij士
    -0.77
    ¿½
    -0.77
    ascript
    -0.74
    OHN
    -0.74
    ctive
    -0.73
    ciating
    -0.70
    webkit
    -0.69
    rite
    -0.67
    communications
    -0.65
    POSITIVE LOGITS
     Franch
    0.83
    ateurs
    0.75
     Tycoon
    0.73
     Amateur
    0.70
     extraord
    0.70
    adesh
    0.68
     desper
    0.68
     hobby
    0.67
     Copyright
    0.65
    idon
    0.64
    Activations Density 0.391%

    No Known Activations