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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. 23955
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    Explanations

    phrases related to actions or events

    oai_token-act-pair · gpt-3.5-turbo

    actions or events involving triggers or mechanisms

    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
    ifer
    -0.63
    iths
    -0.62
    ibur
    -0.62
    vier
    -0.61
    ateg
    -0.61
    DragonMagazine
    -0.61
    paralle
    -0.61
    whatever
    -0.60
    burgh
    -0.60
    if
    -0.59
    POSITIVE LOGITS
     wrong
    0.72
     too
    0.68
     incorrectly
    0.67
     unexpectedly
    0.67
     wrongly
    0.65
     outdoors
    0.62
     improperly
    0.62
     unfamiliar
    0.62
     Logged
    0.62
    .</
    0.61
    Activations Density 0.522%

    No Known Activations