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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. 14649
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    Explanations

    phrases related to promotions and events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to promises and commitments

    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
    lihood
    -0.75
    SEE
    -0.72
     Palmer
    -0.67
     needles
    -0.63
     Marino
    -0.63
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.61
     count
    -0.61
    ADRA
    -0.60
    VILLE
    -0.59
     Albion
    -0.58
    POSITIVE LOGITS
    etheus
    1.46
    otions
    1.45
    otional
    1.38
    inently
    1.28
    inent
    1.27
    inence
    1.21
    ises
    1.20
    oter
    1.17
    otion
    1.16
    ising
    1.08
    Activations Density 0.021%

    No Known Activations