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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
    11. 4211
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    Explanations

    names of organizations or institutions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "MO" 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
    ãĥ¼ãĥĨãĤ£
    -0.82
    wcsstore
    -0.78
    panic
    -0.72
     Icelandic
    -0.72
    uran
    -0.70
     envy
    -0.69
    immer
    -0.64
    tap
    -0.63
     Indones
    -0.61
    ados
    -0.61
    POSITIVE LOGITS
    ONEY
    1.07
    BI
    1.01
    VE
    0.93
    OM
    0.90
    BIL
    0.89
    BO
    0.82
    ovember
    0.82
    ORPG
    0.82
    ovie
    0.82
    OSE
    0.81
    Activations Density 0.008%

    No Known Activations