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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. 8570
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    Explanations

    words related to positions, roles, or responsibilities in sports or organizational settings

    oai_token-act-pair · gpt-3.5-turbo

    terms related to specific roles or positions, particularly in a sports context

    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
    Interstitial
    -0.86
     Warn
    -0.77
    ebook
    -0.77
    vous
    -0.72
    rosso
    -0.70
    isks
    -0.65
    STON
    -0.65
    cause
    -0.63
    STD
    -0.63
    Jane
    -0.62
    POSITIVE LOGITS
     positions
    0.97
     position
    0.91
     vacated
    0.89
    ession
    0.89
    holders
    0.84
    holder
    0.82
     holder
    0.77
    itions
    0.77
     holders
    0.75
    ngth
    0.72
    Activations Density 0.039%

    No Known Activations