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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. 4-RES-JB
    11. 36
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    INDEX
    Explanations

    mentions of specific market locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of markets

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

    No Comments

    Negative Logits
    isner
    -0.73
    vernment
    -0.71
    ngth
    -0.68
     USAF
    -0.65
     composing
    -0.64
    Downloadha
    -0.64
    angling
    -0.64
    thia
    -0.64
    etheless
    -0.63
     Mountains
    -0.61
    POSITIVE LOGITS
    places
    1.33
    eers
    1.20
    eer
    0.86
    place
    0.86
    hare
    0.86
    cloth
    0.81
    keepers
    0.78
     rents
    0.76
     prices
    0.75
     stalls
    0.75
    Activations Density 0.023%

    No Known Activations