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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. 12175
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    Explanations

    the word "hop" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to hops in brewing or beer-related contexts

    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
     payable
    -0.81
     confir
    -0.71
    ateral
    -0.65
     reconc
    -0.63
     Cannot
    -0.61
    Downloadha
    -0.61
     withd
    -0.60
     Clause
    -0.60
    ãĥł
    -0.60
     bears
    -0.60
    POSITIVE LOGITS
    Hop
    1.08
    eful
    1.05
    lite
    0.92
    uls
    0.90
     hop
    0.89
     Hop
    0.85
    grass
    0.84
    efully
    0.81
    sticks
    0.81
    shots
    0.80
    Activations Density 0.016%

    No Known Activations