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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. 1321
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    Explanations

    phrases related to locations or individuals with the specific term "Gul" in the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Gul" and "Gru."

    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
    ology
    -0.72
    ĺħ
    -0.71
    uctor
    -0.64
    itions
    -0.63
     Sorceress
    -0.61
     empath
    -0.60
     nucleus
    -0.59
    ition
    -0.58
     suprem
    -0.58
     VC
    -0.58
    POSITIVE LOGITS
    affe
    0.94
    esome
    0.92
    illas
    0.85
    marg
    0.81
    milo
    0.79
    abyte
    0.78
    ping
    0.78
    ped
    0.77
    adish
    0.76
    auld
    0.76
    Activations Density 0.086%

    No Known Activations