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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. 18596
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    Explanations

    specific prepositions used in a context of location or time

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in"

    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
     convol
    -0.63
    —"
    -0.57
     destro
    -0.56
    llor
    -0.54
     lodged
    -0.54
    casters
    -0.53
     surpr
    -0.53
    CEO
    -0.53
    Reason
    -0.53
     fortun
    -0.52
    POSITIVE LOGITS
    clusions
    1.02
     lieu
    1.00
    clus
    0.94
     vitro
    0.85
    humane
    0.82
    verts
    0.81
    breeding
    0.81
    operative
    0.81
     conjunction
    0.81
     situ
    0.79
    Activations Density 0.283%

    No Known Activations