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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. 6-RES-JB
    11. 4312
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    Explanations

    the character "ľ", potentially associated with encoding or data corruption issues

    oai_token-act-pair · gpt-3.5-turbo

    end-of-text markers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raints
    -1.09
    ngth
    -0.89
     Instr
    -0.85
     manif
    -0.84
     accur
    -0.79
     misunder
    -0.76
    ciating
    -0.75
     tentacles
    -0.75
     condem
    -0.73
     Appalach
    -0.72
    POSITIVE LOGITS
    âĶĢâĶĢ
    1.04
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.90
    ishable
    0.88
    à©
    0.86
    ĺ
    0.86
    Ķ
    0.85
    ļ
    0.84
    Ĺ
    0.83
    ICE
    0.81
    ľ
    0.81
    Activations Density 0.050%

    No Known Activations