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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. 3-RES-JB
    11. 17015
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    Explanations

    phrases related to justification, vindication, and exoneration

    oai_token-act-pair · gpt-3.5-turbo

    words related to validation and justification

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    pee
    -0.80
    hops
    -0.76
    atomic
    -0.73
    pmwiki
    -0.73
    parts
    -0.69
    OPLE
    -0.66
     livest
    -0.65
    cules
    -0.64
    cock
    -0.64
    veyard
    -0.63
    POSITIVE LOGITS
     vind
    1.15
    ictive
    1.14
    icated
    1.07
    ication
    1.04
    icates
    0.97
    ict
    0.93
    icate
    0.91
    iary
    0.89
    ications
    0.89
    ortun
    0.86
    Activations Density 0.010%

    No Known Activations