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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. 21117
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    Explanations

    phrases related to extreme situations, such as crises and record occurrences

    oai_token-act-pair · gpt-3.5-turbo

    indications of significant events or milestones

    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
    ç·
    -0.67
    ãĥīãĥ©
    -0.67
    DE
    -0.65
    ãĥĥ
    -0.60
    kas
    -0.60
    èĪ
    -0.60
    Kevin
    -0.59
    jon
    -0.59
    kowski
    -0.59
    00200000
    -0.58
    POSITIVE LOGITS
     EVER
    1.54
     ever
    1.50
    ever
    1.37
     imaginable
    1.35
     Ever
    1.12
     anywhere
    1.07
    Ever
    0.99
     conceivable
    0.81
     possible
    0.76
     feas
    0.73
    Activations Density 0.824%

    No Known Activations