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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 10949
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    Explanations

    phrases expressing desire or positive feelings towards a particular action or outcome

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or affection

    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
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    No Comments

    Negative Logits
    cial
    -0.66
    urally
    -0.64
    ionic
    -0.64
    ritical
    -0.63
     yawn
    -0.63
    ilian
    -0.63
     Clicker
    -0.61
    ivities
    -0.61
    oshenko
    -0.60
    okes
    -0.60
    POSITIVE LOGITS
     someday
    0.74
     Frieza
    0.64
     ta
    0.62
     Shogun
    0.61
     lett
    0.61
     Citation
    0.59
    ettes
    0.59
     Refuge
    0.59
     opio
    0.58
     Fedora
    0.57
    Activations Density 0.131%

    No Known Activations