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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. 2-RES-JB
    11. 22159
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    Explanations

    various types or categories of objects or concepts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "type" to identify classifications or categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gul
    -0.67
    ometown
    -0.66
    olulu
    -0.65
     Morning
    -0.65
    outube
    -0.64
    ITNESS
    -0.63
    ouston
    -0.62
    borough
    -0.62
    pload
    -0.62
    romeda
    -0.62
    POSITIVE LOGITS
    faces
    1.24
    face
    1.13
    etter
    1.11
    etting
    1.08
    casting
    0.89
    ahead
    0.83
    alias
    0.78
    classes
    0.77
    otypes
    0.76
    otype
    0.74
    Activations Density 0.017%

    No Known Activations