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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. 22145
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    Explanations

    instances of the phrase "two or three," often related to a specific number of items or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating multiple choices or alternative options

    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
    NESS
    -0.79
    ORN
    -0.66
    ãģ®å®
    -0.63
     Wel
    -0.59
     Philos
    -0.59
    GROUND
    -0.57
    å®
    -0.56
    士
    -0.56
    Export
    -0.55
     SIL
    -0.55
    POSITIVE LOGITS
    three
    1.49
     three
    1.33
    thirds
    1.30
    four
    1.19
     four
    1.18
    Three
    1.18
     thirds
    1.17
     THREE
    1.15
    fif
    1.13
     triple
    1.10
    Activations Density 0.081%

    No Known Activations