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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. 10702
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    Explanations

    places or geographic locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Land" in various contexts

    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
     inhibitor
    -0.77
    uffy
    -0.75
     inhibitors
    -0.74
    azine
    -0.73
     slee
    -0.71
     apr
    -0.71
    abetic
    -0.71
    nc
    -0.69
    pn
    -0.68
     dysph
    -0.68
    POSITIVE LOGITS
     Land
    3.78
    Land
    2.80
     Lands
    2.17
     land
    2.04
    land
    1.80
     lands
    1.47
    LAND
    1.40
     Landing
    1.19
    lands
    1.18
     Forest
    1.17
    Activations Density 0.012%

    No Known Activations