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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. 11-RES-JB
    11. 5734
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    Explanations

    phrases related to expressing opinions or observations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that convey opinions or assessments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iard
    -0.78
    igraph
    -0.78
    sha
    -0.75
    ento
    -0.71
    onz
    -0.70
    lator
    -0.67
    iless
    -0.65
    vati
    -0.65
    bow
    -0.64
    isphere
    -0.61
    POSITIVE LOGITS
     remarkable
    1.11
     interesting
    1.08
     fascinating
    1.07
     surprising
    1.07
     striking
    1.07
     noteworthy
    1.06
     notable
    1.00
     intriguing
    1.00
     happening
    0.99
     abundantly
    0.99
    Activations Density 0.075%

    No Known Activations