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    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. 2350
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    Explanations

    phrases indicating a numerical quantity of additional items or time

    oai_token-act-pair · gpt-3.5-turbo

    references to an additional quantity or the concept of "more."

    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
    obar
    -0.78
    oes
    -0.78
    Gra
    -0.71
    both
    -0.69
    ISTER
    -0.69
    orig
    -0.68
    odor
    -0.68
    ĺħ
    -0.68
    ê
    -0.67
    Enlarge
    -0.67
    POSITIVE LOGITS
     than
    1.10
     ado
    0.93
     installments
    0.87
     stringent
    0.73
     elaborate
    0.73
    worldly
    0.70
     bedrooms
    0.69
     Than
    0.69
     rounds
    0.68
     mature
    0.68
    Activations Density 0.073%

    No Known Activations