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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. 24441
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    Explanations

    phrases related to communication and information

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating actions or statements made by individuals

    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
    Redditor
    -0.59
    roo
    -0.57
    issance
    -0.54
    oice
    -0.53
    CVE
    -0.53
    isal
    -0.52
    erial
    -0.52
    leneck
    -0.52
    CRE
    -0.51
    Cub
    -0.51
    POSITIVE LOGITS
     themselves
    2.02
     their
    1.93
    their
    1.82
     Their
    1.68
     THEIR
    1.67
    Their
    1.60
     theirs
    1.36
    selves
    1.24
     they
    1.12
    They
    1.06
    Activations Density 1.745%

    No Known Activations