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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. 14170
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    Explanations

    names starting with the letter "Z"

    oai_token-act-pair · gpt-3.5-turbo

    the token 'Z' repeated multiple times within the text

    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
     captcha
    -0.71
    cers
    -0.66
     spirited
    -0.61
    riott
    -0.59
     Corrections
    -0.59
    Interstitial
    -0.59
    stant
    -0.58
     Militia
    -0.58
     foremost
    -0.57
    tenance
    -0.57
    POSITIVE LOGITS
    ebra
    1.38
    ERO
    1.34
    odiac
    1.28
    iggurat
    1.18
    ooming
    1.15
    eph
    1.14
    ealous
    1.10
    eros
    1.09
    ombie
    1.05
    ulu
    1.04
    Activations Density 0.023%

    No Known Activations