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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
    11. 2730
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    Explanations

    the word "see" or variations of "see"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "see" and its variations

    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
    theless
    -0.67
    aths
    -0.61
    RET
    -0.60
    orio
    -0.59
     Census
    -0.58
    Topics
    -0.58
     NAACP
    -0.57
    stant
    -0.57
    aments
    -0.57
     anthem
    -0.54
    POSITIVE LOGITS
     unfold
    1.04
     happening
    0.88
     firsthand
    0.87
     unfolding
    0.85
     elsewhere
    0.84
     dstg
    0.84
     happen
    0.83
     everywhere
    0.81
     emanating
    0.80
     fit
    0.79
    Activations Density 0.070%

    No Known Activations