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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. 4303
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    Explanations

    proper nouns related to international trade agreements

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the television station KO and its programs or features

    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
    mberg
    -0.82
    umn
    -0.69
    uity
    -0.67
    pheus
    -0.67
    accompanied
    -0.66
    ãĥ¼ãĥĨãĤ£
    -0.65
     Sina
    -0.63
    cientious
    -0.63
    shire
    -0.62
    ional
    -0.61
    POSITIVE LOGITS
    KO
    1.02
    BIL
    0.95
     KO
    0.95
    eto
    0.83
    ELY
    0.82
    AH
    0.81
    BLIC
    0.79
    BO
    0.79
    ICE
    0.79
    ptions
    0.79
    Activations Density 0.006%

    No Known Activations