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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. 6126
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    Explanations

    references to the term "straw", particularly in the context of polls or metaphorical phrases

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "straw" in various contexts

    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
    olon
    -0.73
     Reloaded
    -0.73
    apse
    -0.67
    uate
    -0.66
     resid
    -0.65
    rael
    -0.65
    ection
    -0.62
    plete
    -0.62
    ector
    -0.62
    ogue
    -0.61
    POSITIVE LOGITS
    berries
    0.98
    poll
    0.92
    backs
    0.88
     straw
    0.86
    sonian
    0.85
    bare
    0.85
    weight
    0.85
    pipe
    0.83
    weights
    0.83
    s
    0.82
    Activations Density 0.051%

    No Known Activations