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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. 8982
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    Explanations

    expressions of positive sentiments or desires

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing positivity or desirability about situations

    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
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    No Comments

    Negative Logits
    bers
    -0.61
     critical
    -0.60
    cies
    -0.59
    morph
    -0.56
    ilian
    -0.56
     nutshell
    -0.55
     constructor
    -0.55
     archaic
    -0.54
    laws
    -0.54
     \'
    -0.53
    POSITIVE LOGITS
     if
    0.84
    Rah
    0.70
     Wouldn
    0.68
    udos
    0.66
    aeda
    0.65
    advertising
    0.65
     someday
    0.64
    hower
    0.64
    lund
    0.64
    iful
    0.63
    Activations Density 0.193%

    No Known Activations