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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    terms related to vegetation, particularly focusing on the concept of 'bushes.'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "bush" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.69
    Else
    -0.67
    icates
    -0.66
    xit
    -0.66
    oric
    -0.65
    cussion
    -0.65
    oppable
    -0.64
     Hamburg
    -0.64
    odore
    -0.64
    ications
    -0.64
    POSITIVE LOGITS
    fires
    1.05
    craft
    0.96
     bush
    0.95
    wh
    0.91
    meat
    0.86
    fire
    0.84
    washed
    0.83
    mere
    0.83
    tree
    0.81
    knit
    0.79
    Activations Density 0.009%

    No Known Activations