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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. 2940
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    Explanations

    phrases related to recurring events or routines

    oai_token-act-pair · gpt-3.5-turbo

    references to events or occurrences described as happening regularly

    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
    olas
    -0.86
    dict
    -0.72
    ainment
    -0.71
    folios
    -0.62
    hess
    -0.61
     Pru
    -0.61
    ees
    -0.59
    reverse
    -0.59
    raits
    -0.58
    ourge
    -0.57
    POSITIVE LOGITS
    THING
    1.39
    where
    1.28
     conceivable
    1.18
    body
    1.09
     ounce
    1.05
     indication
    0.99
     imaginable
    0.99
     single
    0.95
    day
    0.94
     inch
    0.94
    Activations Density 0.039%

    No Known Activations