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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. 10-RES-JB
    11. 8206
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    Explanations

    phrases indicating the presence of an unspecified quantitative or qualitative aspect

    oai_token-act-pair · gpt-3.5-turbo

    phrases that refer to uncertainty or oddness, often implying a lack of clarity or rationale

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocity
    -0.78
    ouble
    -0.73
    \\\\\\\\
    -0.72
    agate
    -0.71
    buster
    -0.70
    heid
    -0.67
    amaru
    -0.66
    opy
    -0.66
    EStream
    -0.65
    atari
    -0.65
    POSITIVE LOGITS
     reason
    1.12
     inexplicable
    1.10
     reasons
    1.01
     unexplained
    0.96
     odd
    0.89
     purposes
    0.86
     unlucky
    0.84
     observers
    0.82
     individuals
    0.82
     unknown
    0.81
    Activations Density 0.043%

    No Known Activations