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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. 7-RES-JB
    11. 18100
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    Explanations

    combinations of the words "how" and "why" in sentences

    oai_token-act-pair · gpt-3.5-turbo

    questions and phrases related to the reasoning behind actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ://
    -0.67
    stroke
    -0.58
     quad
    -0.57
    ãĥīãĥ©ãĤ´ãĥ³
    -0.55
    prime
    -0.55
    \\\\\\\\\\\\\\\\
    -0.55
    rs
    -0.54
    lete
    -0.54
     sentiment
    -0.54
     Veterans
    -0.54
    POSITIVE LOGITS
    anwhile
    0.84
    isphere
    0.77
    soDeliveryDate
    0.76
    aterasu
    0.73
    inki
    0.72
    thens
    0.72
    OULD
    0.71
    soType
    0.71
    then
    0.70
    soever
    0.70
    Activations Density 0.106%

    No Known Activations