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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. 1-RES-JB
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    Explanations

    terms related to strong negative judgments or criticisms

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "rant" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AW
    -0.80
    akespe
    -0.78
    ©¶æ
    -0.77
     traged
    -0.73
    ntil
    -0.73
    Frameworks
    -0.65
    OTOS
    -0.63
    ILA
    -0.62
     mobilized
    -0.62
     multif
    -0.61
    POSITIVE LOGITS
    rant
    1.36
    olini
    0.86
    rance
    0.86
    rants
    0.83
    dit
    0.79
    cies
    0.78
    thal
    0.78
    jar
    0.77
    eca
    0.76
    cake
    0.76
    Activations Density 0.006%

    No Known Activations