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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. 14700
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    Explanations

    Roman numerals

    oai_token-act-pair · gpt-3.5-turbo

    the presence of roman numerals

    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
    lain
    -1.03
    rooms
    -0.74
     convict
    -0.71
    boards
    -0.71
    lins
    -0.66
     marsh
    -0.65
    hillary
    -0.65
    story
    -0.63
    fired
    -0.62
    rant
    -0.62
    POSITIVE LOGITS
    ii
    1.32
    iii
    1.28
    II
    0.94
    FY
    0.94
    Vi
    0.83
    ysis
    0.83
    ei
    0.81
    III
    0.81
    ñ
    0.80
    ulia
    0.77
    Activations Density 0.009%

    No Known Activations