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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. 6-RES-JB
    11. 3739
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    Explanations

    questions or statements related to health conditions or risks

    oai_token-act-pair · gpt-3.5-turbo

    questions and inquiry-related language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     downstream
    -0.76
     upstream
    -0.74
     stret
    -0.69
     invisible
    -0.69
     unsus
    -0.69
     desperate
    -0.68
     wagon
    -0.66
     forgotten
    -0.65
     poisoned
    -0.65
     canoe
    -0.65
    POSITIVE LOGITS
    Answer
    1.12
    Absolutely
    0.88
    ITNESS
    0.86
    RH
    0.85
    gow
    0.85
    Correct
    0.84
    VI
    0.84
    YR
    0.83
    OVA
    0.82
    JM
    0.82
    Activations Density 0.123%

    No Known Activations