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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. 9508
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    Explanations

    the word "jah" mentioned in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to specific songs or musical elements

    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
     Foster
    -0.63
     Garfield
    -0.61
     Doyle
    -0.61
     butcher
    -0.61
     Cull
    -0.60
     Console
    -0.59
     autos
    -0.58
     Pwr
    -0.57
    FN
    -0.57
     insert
    -0.57
    POSITIVE LOGITS
    jah
    4.68
    Ñı
    1.46
    jas
    1.28
    ujah
    1.06
    jing
    0.89
     Jah
    0.87
    ja
    0.87
    zb
    0.86
    yah
    0.84
    \\\\\\\\
    0.83
    Activations Density 0.036%

    No Known Activations