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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. 9-RES-JB
    11. 13620
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    Explanations

    phrases related to events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating past events and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isode
    -0.82
    luster
    -0.76
     greatness
    -0.70
     Deaths
    -0.70
     charm
    -0.69
     Balance
    -0.67
     PLUS
    -0.64
    glers
    -0.63
     Odyssey
    -0.62
    rings
    -0.61
    POSITIVE LOGITS
     unclear
    1.49
     possible
    1.25
     conceivable
    1.22
     impossible
    1.17
     advisable
    1.14
     speculated
    1.06
     feasible
    1.05
     practicable
    1.03
     difficult
    1.00
     raining
    1.00
    Activations Density 0.273%

    No Known Activations