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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. 16460
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    Explanations

    adjectives related to things being tightly held or tightly connected

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to tightness or constraints

    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
     Courage
    -0.75
    unknown
    -0.68
    ;;;;;;;;;;;;
    -0.68
    ORGE
    -0.67
     Uriel
    -0.67
    ICAN
    -0.64
    DonaldTrump
    -0.64
    terday
    -0.64
    ista
    -0.63
     Upton
    -0.63
    POSITIVE LOGITS
    nesses
    1.13
    knit
    1.06
    ness
    1.05
     knit
    1.04
    est
    0.94
    lining
    0.92
    ening
    0.91
    ened
    0.91
    neck
    0.90
     squeeze
    0.89
    Activations Density 0.038%

    No Known Activations