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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. 4-RES-JB
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    Explanations

    proper nouns, particularly names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "heard" in various contexts

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

    No Comments

    Negative Logits
    apo
    -0.75
    prime
    -0.71
    quer
    -0.71
    afort
    -0.67
    inals
    -0.65
    aging
    -0.63
    eros
    -0.63
    igsaw
    -0.62
    tan
    -0.62
    uably
    -0.61
    POSITIVE LOGITS
     Heard
    0.95
     hearing
    0.82
     voices
    0.81
     heard
    0.81
     Hear
    0.80
    heard
    0.77
     hear
    0.76
    grass
    0.76
    çīĪ
    0.75
     Hearing
    0.74
    Activations Density 0.027%

    No Known Activations