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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. 1-RES-JB
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    Explanations

    references to messengers or messaging

    oai_token-act-pair · gpt-3.5-turbo

    terms related to messengers and messaging systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.92
    itals
    -0.82
    pmwiki
    -0.76
    laus
    -0.71
    biased
    -0.68
    aundering
    -0.67
    engeance
    -0.67
     Dortmund
    -0.67
    imaru
    -0.67
     disqual
    -0.66
    POSITIVE LOGITS
     messenger
    1.31
     Messenger
    1.20
    engers
    1.06
     pige
    0.97
    hammad
    0.90
    enger
    0.85
    maid
    0.85
    posts
    0.85
    Mess
    0.84
    glass
    0.81
    Activations Density 0.008%

    No Known Activations