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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. 17995
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    Explanations

    prepositions followed by a specific location or object

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the" in various contexts

    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
    thood
    -0.83
    uria
    -0.74
    pell
    -0.73
    upon
    -0.72
    ividual
    -0.70
     though
    -0.68
    rates
    -0.67
    eful
    -0.65
    anova
    -0.65
    ndra
    -0.65
    POSITIVE LOGITS
     outskirts
    1.42
     verge
    1.27
     sidelines
    1.26
     sidewalk
    1.24
     brink
    1.23
     pavement
    1.19
     ledge
    1.18
     doorstep
    1.15
     shores
    1.13
     edge
    1.11
    Activations Density 0.174%

    No Known Activations