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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. 5392
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    INDEX
    Explanations

    incidents or events in a narrative

    oai_token-act-pair · gpt-3.5-turbo

    phrases that inquire about events and outcomes

    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
    ament
    -0.72
    folio
    -0.70
    lication
    -0.64
    tesy
    -0.64
    folios
    -0.61
    ãĥ³ãĤ¸
    -0.60
    solete
    -0.58
    akedown
    -0.57
    claimer
    -0.56
     mandate
    -0.56
    POSITIVE LOGITS
     next
    1.11
     afterwards
    0.99
     backstage
    0.94
     afterward
    0.93
     transpired
    0.88
     NEXT
    0.88
     unfold
    0.82
     between
    0.81
     to
    0.80
     inside
    0.80
    Activations Density 0.058%

    No Known Activations