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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. 2-RES-JB
    6. 13875
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    Explanations

    phrases related to editing or modified content

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "edited"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lay
    -0.80
    ingham
    -0.80
    vor
    -0.72
    clerosis
    -0.70
    CVE
    -0.70
    lust
    -0.67
    gaard
    -0.66
    adra
    -0.65
    fell
    -0.65
    stone
    -0.65
    POSITIVE LOGITS
    ieval
    1.00
    escription
    1.00
     subur
    0.96
    uled
    0.95
     pione
    0.86
     millenn
    0.80
    ÃĥÃĤ
    0.79
     practition
    0.77
    monton
    0.76
    DeliveryDate
    0.75
    Activations Density 0.063%

    No Known Activations