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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. 4-RES-JB
    11. 20005
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "lan" and related variations

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

    No Comments

    Negative Logits
    BIP
    -0.66
    FACE
    -0.66
     STATS
    -0.65
     Pelicans
    -0.62
    nces
    -0.62
     CNS
    -0.61
     Serious
    -0.59
    é¾įå¥ij士
    -0.59
     Crunch
    -0.58
     FAT
    -0.57
    POSITIVE LOGITS
    auer
    1.10
    ovo
    1.05
    ning
    1.01
    ifest
    1.00
    zig
    0.92
    unci
    0.92
    esthetic
    0.92
    igans
    0.91
    tern
    0.90
    ergic
    0.90
    Activations Density 0.009%

    No Known Activations