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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. 10810
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    Explanations

    the word "call" followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "call" in various 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
    bilt
    -0.82
     istg
    -0.72
     embr
    -0.70
     mathemat
    -0.68
    olitics
    -0.66
    ynski
    -0.65
    »Ĵ
    -0.65
    inth
    -0.64
    cffff
    -0.64
     centrif
    -0.63
    POSITIVE LOGITS
    backs
    1.01
    igraph
    0.96
    call
    0.87
    phas
    0.87
     911
    0.85
     bullshit
    0.82
    oused
    0.81
    calling
    0.80
     forth
    0.78
     bluff
    0.78
    Activations Density 0.057%

    No Known Activations