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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. 13919
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    Explanations

    descriptions related to quality and aesthetics

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptions related to product quality and specifications

    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
    GROUP
    -0.84
    rue
    -0.82
     Volunte
    -0.80
    Rap
    -0.79
    Newsletter
    -0.78
    arte
    -0.76
    odcast
    -0.75
    River
    -0.72
    Journal
    -0.71
    sports
    -0.71
    POSITIVE LOGITS
     resemblance
    1.18
     similarities
    1.16
     characteristics
    1.13
     markings
    1.10
     specs
    1.07
     features
    1.06
     dimensions
    1.06
     functionality
    1.04
     edges
    1.03
     drawbacks
    1.01
    Activations Density 0.465%

    No Known Activations