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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. 382
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    INDEX
    Explanations

    positive words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with positivity

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    adr
    -0.80
    RAW
    -0.80
    resp
    -0.79
    appings
    -0.78
    conservancy
    -0.75
    sung
    -0.74
    igs
    -0.74
    oths
    -0.72
    hid
    -0.72
    HOW
    -0.71
    POSITIVE LOGITS
     reinforcement
    1.02
     affirmation
    0.93
     positive
    0.91
     feedback
    0.90
     affirm
    0.85
     outcome
    0.84
     appraisal
    0.80
     vib
    0.79
     Positive
    0.74
     impact
    0.74
    Activations Density 0.017%

    No Known Activations