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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. 9-RES-JB
    11. 7174
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    Explanations

    information about arrests and releases of individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "released" and its variants in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bulg
    -0.60
     genesis
    -0.60
    nutrition
    -0.59
     Echoes
    -0.59
    Sort
    -0.58
    matic
    -0.58
    theless
    -0.57
    eries
    -0.57
    iths
    -0.57
    MET
    -0.57
    POSITIVE LOGITS
     prisoners
    1.02
     prisoner
    1.00
     captives
    0.89
     onto
    0.88
     handcuffs
    0.88
     parole
    0.85
     pending
    0.83
    prison
    0.82
     hostages
    0.81
     detainees
    0.81
    Activations Density 0.082%

    No Known Activations