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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. 7-RES-JB
    11. 7420
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    Explanations

    prepositions and transitional phrases

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and their usage in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.84
    Registered
    -0.72
    âĶĢâĶĢâĶĢâĶĢ
    -0.65
    scape
    -0.60
    ±
    -0.59
    natureconservancy
    -0.58
    ahead
    -0.53
    arted
    -0.52
     Mountains
    -0.52
    River
    -0.52
    POSITIVE LOGITS
    by
    0.71
     by
    0.71
    urous
    0.69
    kinson
    0.66
    wards
    0.64
    estone
    0.64
    retty
    0.64
     Ples
    0.63
    oÄŁ
    0.61
    byter
    0.61
    Activations Density 0.480%

    No Known Activations