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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. 6-RES-JB
    11. 12221
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    opening parentheses in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wildlife
    -0.76
     lull
    -0.70
     millenn
    -0.69
     retard
    -0.69
     prey
    -0.66
     flow
    -0.66
     therap
    -0.65
     clin
    -0.65
     nutrient
    -0.65
     star
    -0.64
    POSITIVE LOGITS
    including
    1.52
    although
    1.47
    possibly
    1.45
    albeit
    1.43
    especially
    1.42
    which
    1.42
    perhaps
    1.42
    usually
    1.41
    see
    1.40
    except
    1.38
    Activations Density 0.189%

    No Known Activations