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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. 7-RES-JB
    11. 21650
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    Explanations

    phrases related to work schedules and routines

    oai_token-act-pair · gpt-3.5-turbo

    references to work-life balance and communication dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emale
    -0.56
     Collider
    -0.50
    oulos
    -0.49
    âĹ¼
    -0.46
     NAME
    -0.44
    henko
    -0.43
     Mermaid
    -0.43
    eria
    -0.42
    htaking
    -0.42
    nesday
    -0.42
    POSITIVE LOGITS
    ".[
    0.64
    .[
    0.60
     elsewhere
    0.58
     attRot
    0.56
    ."[
    0.55
    ''.
    0.55
    ".
    0.53
    ).[
    0.52
     otherwise
    0.52
    '.
    0.51
    Activations Density 2.233%

    No Known Activations