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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. 4274
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    Explanations

    adverbs and adjectives that emphasize the degree or intensity of descriptors

    oai_token-act-pair · gpt-3.5-turbo
    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
    ertodd
    -0.73
    rongh
    -0.70
    76561
    -0.70
    pta
    -0.67
    ULE
    -0.65
    ership
    -0.64
    ictions
    -0.63
    abouts
    -0.62
    %%
    -0.62
    ukong
    -0.62
    POSITIVE LOGITS
     impossible
    1.25
     ironic
    1.22
     easier
    1.19
     obvious
    1.16
     easy
    1.15
     advisable
    1.15
     conceivable
    1.14
     difficult
    1.13
     possible
    1.12
     feasible
    1.12
    Activations Density 0.235%

    No Known Activations