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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. 3-RES-JB
    11. 11400
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    Explanations

    phrases or terms related to software version releases with fixes or updates

    oai_token-act-pair · gpt-3.5-turbo

    references to concepts of irony

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ewitness
    -0.86
    76561
    -0.81
     pilgr
    -0.68
    EStream
    -0.67
     sshd
    -0.65
    jug
    -0.65
    oute
    -0.65
    ©¶æ
    -0.64
     firsthand
    -0.64
    atican
    -0.63
    POSITIVE LOGITS
    WIN
    0.61
    keys
    0.59
    icy
    0.59
    olution
    0.59
    upon
    0.58
    Balance
    0.58
    icio
    0.58
     Improvement
    0.57
    heon
    0.57
     Reflex
    0.57
    Activations Density 0.000%

    No Known Activations