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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. 3-RES-JB
    11. 6588
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    INDEX
    Explanations

    mentions of low-cost or budget-related items or solutions

    oai_token-act-pair · gpt-3.5-turbo

    references to cost and speed in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phies
    -0.71
    iph
    -0.70
    ename
    -0.64
    seys
    -0.63
    aps
    -0.61
    LAN
    -0.61
    odon
    -0.60
    gs
    -0.59
    angers
    -0.59
    eeks
    -0.58
    POSITIVE LOGITS
    tenance
    1.22
    theless
    1.17
    etheless
    0.88
    lihood
    0.83
    terday
    0.77
    anced
    0.76
    istance
    0.72
    strument
    0.70
    withstanding
    0.68
    llor
    0.68
    Activations Density 0.123%

    No Known Activations