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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. 7-RES-JB
    11. 410
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    INDEX
    Explanations

    words or prefixes related to "severe"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "see" or its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    initely
    -0.68
    INGTON
    -0.67
    SHIP
    -0.66
    etheless
    -0.65
    enhagen
    -0.64
    acters
    -0.61
     anecd
    -0.60
     diplom
    -0.60
     hoops
    -0.59
    hetti
    -0.59
    POSITIVE LOGITS
    eps
    1.15
    perate
    1.11
    xt
    1.03
    ep
    1.00
    vel
    0.98
    clusion
    0.98
    pt
    0.97
    rend
    0.97
    fter
    0.95
    eding
    0.93
    Activations Density 0.017%

    No Known Activations