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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. 2857
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    INDEX
    Explanations

    mentions of the word "Ant" followed by a numerical rating

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Ant" and its variations 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
    glers
    -0.75
    UGE
    -0.70
    UTION
    -0.68
     Carib
    -0.66
    OUP
    -0.61
    cki
    -0.61
    NING
    -0.61
     Stras
    -0.59
    OUT
    -0.58
     Tens
    -0.58
    POSITIVE LOGITS
    iques
    1.33
    oine
    1.29
    elope
    1.23
    agonists
    1.22
    icip
    1.22
    icipated
    1.19
    agonist
    1.16
    ifa
    1.14
    ique
    1.11
    idepress
    1.10
    Activations Density 0.030%

    No Known Activations