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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. 10-RES-JB
    11. 8450
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    Explanations

    third-person plural pronouns followed by verbs or verb phrases

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REDACTED
    -0.60
    imo
    -0.59
     contradictions
    -0.55
     offending
    -0.55
    lighting
    -0.55
    lets
    -0.54
    luster
    -0.53
     disappears
    -0.53
     srfAttach
    -0.53
     Blackwell
    -0.53
    POSITIVE LOGITS
     ourselves
    1.10
    asel
    1.08
    athered
    1.07
    're
    1.05
    've
    1.05
    arers
    1.03
    eps
    1.00
    aves
    0.98
    avers
    0.98
    blogs
    0.94
    Activations Density 0.096%

    No Known Activations