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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. 13186
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    Explanations

    contractions

    oai_token-act-pair · gpt-3.5-turbo

    negations and the use of personal pronouns in assertion contexts

    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
    isal
    -0.65
    aml
    -0.64
    Growing
    -0.63
    mire
    -0.62
     Compass
    -0.61
    was
    -0.60
    mania
    -0.60
    eur
    -0.58
    itaire
    -0.56
     recalls
    -0.56
    POSITIVE LOGITS
     themselves
    1.08
     selves
    0.88
     advertise
    0.80
    selves
    0.77
    mos
    0.74
     operate
    0.74
    eds
    0.71
     unfocusedRange
    0.70
     swarm
    0.70
     converge
    0.68
    Activations Density 0.539%

    No Known Activations