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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. 3-RES-JB
    11. 15321
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    Explanations

    words related to troubleshooting and technical issues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to difficulties or challenges, particularly in the context of problems and obstacles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fidelity
    -0.79
    patrick
    -0.78
    ansas
    -0.76
    ardless
    -0.75
    itutional
    -0.74
    udos
    -0.72
    ysis
    -0.68
     parish
    -0.65
     appreciation
    -0.63
    odox
    -0.63
    POSITIVE LOGITS
    hooting
    1.10
    hirt
    0.93
    INESS
    0.87
    enthal
    0.76
     Scare
    0.75
    hin
    0.73
    luaj
    0.72
    keye
    0.71
    uits
    0.70
    kered
    0.69
    Activations Density 0.031%

    No Known Activations