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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. 5395
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    Explanations

    phrases where a group or individuals are described collectively or in relation to each other

    oai_token-act-pair · gpt-3.5-turbo

    the word "all" in various contexts

    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
    •All the Features!

    No Comments

    Negative Logits
    ahime
    -0.68
    inth
    -0.67
    FH
    -0.67
    bal
    -0.65
     Sorceress
    -0.61
    Prince
    -0.59
    Atl
    -0.58
     Cinderella
    -0.58
     Barrier
    -0.56
     Paulo
    -0.55
    POSITIVE LOGITS
    ocating
    1.23
    ocated
    1.12
    usions
    1.05
    uding
    1.03
    owed
    1.00
    usion
    1.00
    oys
    0.98
    igators
    0.96
    ocate
    0.96
    ude
    0.96
    Activations Density 0.078%

    No Known Activations