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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 4426
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    Explanations

    forms of the word "objects" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hayes
    -0.71
    starter
    -0.70
    hhhh
    -0.68
    illin
    -0.67
    reon
    -0.67
     Bay
    -0.66
    proven
    -0.65
    season
    -0.64
     Hust
    -0.64
     mell
    -0.64
    POSITIVE LOGITS
     objects
    3.78
     Objects
    2.99
    objects
    2.91
     object
    2.65
    object
    1.95
    Object
    1.83
     Object
    1.80
     artifacts
    1.53
     items
    1.52
     instruments
    1.38
    Activations Density 0.024%

    No Known Activations