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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. 0-RES-JB
    11. 6573
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    Explanations

    measurements in feet

    oai_token-act-pair · gpt-3.5-turbo

    measurements of height or length in feet

    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
    roid
    -0.70
    olan
    -0.69
    arios
    -0.63
    Zen
    -0.62
    ocratic
    -0.62
    izations
    -0.61
    Prim
    -0.60
     Crystal
    -0.59
    ram
    -0.58
    rans
    -0.58
    POSITIVE LOGITS
     ft
    3.86
    ft
    2.14
     Ft
    1.95
     lb
    1.42
     FTP
    1.41
     feet
    1.38
     Feet
    1.36
    fts
    1.33
     FT
    1.24
    feet
    1.23
    Activations Density 0.009%

    No Known Activations