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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. 10-RES-JB
    11. 10256
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    Explanations

    phrases indicating caution or exceptions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating conditional or uncertain outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eday
    -0.85
    timer
    -0.71
    fw
    -0.71
    aughs
    -0.71
    ults
    -0.70
    iry
    -0.69
    maybe
    -0.68
    esi
    -0.67
    sometimes
    -0.66
    perhaps
    -0.65
    POSITIVE LOGITS
     correlate
    0.86
     synonymous
    0.85
     equate
    0.83
     conducive
    0.82
     necessarily
    0.82
     indicative
    0.76
     anymore
    0.76
     translate
    0.75
    erest
    0.75
     correlated
    0.73
    Activations Density 0.047%

    No Known Activations