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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. 5483
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    Explanations

    adjectives indicating different degrees of a characteristic

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases or patterns leading with the word "a."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    assisted
    -0.88
    eyes
    -0.73
    enance
    -0.72
    acid
    -0.72
    breakers
    -0.71
    agents
    -0.69
    OWS
    -0.69
    chairs
    -0.69
    independent
    -0.68
    rats
    -0.65
    POSITIVE LOGITS
     lot
    1.23
     tendency
    1.22
     plethora
    1.17
     caveat
    1.09
     possibility
    1.08
     downside
    1.08
     reason
    1.06
     definite
    1.06
     difference
    1.03
     precedent
    1.02
    Activations Density 0.098%

    No Known Activations