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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. 7-RES-JB
    11. 11022
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    Explanations

    percentage values

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ingred
    -0.68
     ens
    -0.68
     grate
    -0.68
    ALSE
    -0.68
    onym
    -0.67
    lass
    -0.65
     disapp
    -0.64
    º
    -0.63
     caut
    -0.63
    skin
    -0.62
    POSITIVE LOGITS
     accordance
    1.18
     conjunction
    1.11
     relation
    1.09
     spite
    1.08
     lieu
    1.08
     comparison
    1.07
     favor
    1.03
    roads
    1.03
    effic
    1.00
    efficiency
    0.99
    Activations Density 0.344%

    No Known Activations