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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. 13472
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    Explanations

    vehicles and objects carrying a specific number or type of items

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe things being carried or transported

    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
    pei
    -0.64
    ertain
    -0.63
     valleys
    -0.62
    pace
    -0.62
    iva
    -0.61
    ometers
    -0.61
    */
    -0.61
    nai
    -0.60
     nerv
    -0.59
     athlet
    -0.59
    POSITIVE LOGITS
     hers
    0.71
    stood
    0.70
     theirs
    0.68
    BuyableInstoreAndOnline
    0.65
     yours
    0.64
    interstitial
    0.64
    exclusive
    0.64
     Zin
    0.63
     identical
    0.62
    STDOUT
    0.62
    Activations Density 0.401%

    No Known Activations