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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. 6-RES-JB
    11. 522
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    Explanations

    people's names or pronouns followed by positive traits or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the name "Becker" in various contexts throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     belts
    -0.71
    tsky
    -0.70
     rug
    -0.70
    WARE
    -0.66
    è¦ļéĨĴ
    -0.65
     belt
    -0.64
    PAC
    -0.64
    DER
    -0.63
    CLASS
    -0.63
     purse
    -0.62
    POSITIVE LOGITS
    oming
    1.34
    zek
    1.10
    omes
    1.03
    uity
    0.94
    leans
    0.92
    ilic
    0.88
    xt
    0.88
    ome
    0.86
    uous
    0.84
    ues
    0.84
    Activations Density 0.030%

    No Known Activations