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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. 6-RES-JB
    11. 852
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    Explanations

    phrases related to reading or instructions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "read" in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ackle
    -0.66
    xon
    -0.66
    اÙĦ
    -0.64
    ascal
    -0.63
    ño
    -0.63
     towed
    -0.62
     Zur
    -0.61
    Reloaded
    -0.59
     Goodman
    -0.59
    Hom
    -0.59
    POSITIVE LOGITS
     aloud
    1.21
    just
    1.14
    dress
    1.04
    ying
    0.99
    ied
    0.91
    ahead
    0.87
    Write
    0.87
     comprehension
    0.86
    itatively
    0.83
    iness
    0.83
    Activations Density 0.037%

    No Known Activations