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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
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    Explanations

    references to various types of flowers

    oai_token-act-pair · gpt-3.5-turbo

    references to flowers and their various forms and characteristics

    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
    ahon
    -0.69
    gregation
    -0.68
    emo
    -0.65
     absentee
    -0.64
    shock
    -0.64
     unden
    -0.64
    urg
    -0.63
    eki
    -0.62
    MRI
    -0.62
    arcer
    -0.62
    POSITIVE LOGITS
     bloom
    1.17
     blo
    1.04
     arranging
    1.03
     flowers
    1.00
     gardens
    1.00
     Blossom
    0.99
     bou
    0.97
     bloss
    0.95
    mary
    0.95
     flower
    0.94
    Activations Density 0.102%

    No Known Activations