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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. 17085
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    Explanations

    adjectives describing effort, skill, emotion, or physical state

    oai_token-act-pair · gpt-3.5-turbo

    emotional or negative descriptors related to experiences and actions

    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
     THREE
    -0.63
     Aren
    -0.62
     TWO
    -0.61
     Tanz
    -0.61
     Empires
    -0.61
     Edison
    -0.60
     Leviathan
    -0.56
     Eston
    -0.55
     slice
    -0.55
     Waters
    -0.54
    POSITIVE LOGITS
    ful
    2.22
    fully
    2.09
    fulness
    1.72
    lessly
    1.67
    less
    1.66
    full
    1.64
    FUL
    1.44
    ingly
    1.43
    lessness
    1.38
    ously
    1.37
    Activations Density 0.335%

    No Known Activations