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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. 190
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    INDEX
    Explanations

    phrases related to hunting or search

    oai_token-act-pair · gpt-3.5-turbo

    references to hunting activities or pursuits

    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
    BuyableInstoreAndOnline
    -0.75
    ittered
    -0.70
    graded
    -0.69
    address
    -0.68
    payment
    -0.68
     Glas
    -0.67
    itutional
    -0.66
    addr
    -0.65
    activated
    -0.64
    iations
    -0.64
    POSITIVE LOGITS
    hunt
    0.93
     hunts
    0.92
    eers
    0.88
     hunt
    0.85
    oleon
    0.85
    resses
    0.84
     hunting
    0.84
    ãĥ£
    0.84
    mage
    0.82
     Hunt
    0.81
    Activations Density 0.012%

    No Known Activations