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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 10455
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    Explanations

    language related to implication or suggestion, especially with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "impl" or related phrases indicating implementation or implication

    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
    Ĥ¬
    -0.81
    SEA
    -0.77
    grass
    -0.76
    chal
    -0.73
    flix
    -0.72
    ¥µ
    -0.68
    PDATE
    -0.67
    hyde
    -0.67
     Warwick
    -0.65
    boarding
    -0.65
    POSITIVE LOGITS
    osion
    1.41
    oded
    1.34
    ausible
    1.27
    icating
    1.21
    icates
    1.20
    icate
    1.18
    anting
    1.17
    icit
    1.16
    oding
    1.15
    ications
    1.08
    Activations Density 0.011%

    No Known Activations