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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. 22616
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    Explanations

    phrases related to rescuing or saving someone or something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rescue and capture situations

    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
    issue
    -0.79
    alter
    -0.75
    eth
    -0.74
    eda
    -0.73
    itis
    -0.73
    esa
    -0.72
    clerosis
    -0.72
    ional
    -0.72
    abet
    -0.72
    hun
    -0.69
    POSITIVE LOGITS
    CLASSIFIED
    0.90
    DeliveryDate
    0.85
     aback
    0.79
     subur
    0.76
     Parenthood
    0.76
    ĸļ
    0.74
     Borough
    0.68
    Initialized
    0.67
    ÃĥÃĤ
    0.66
     by
    0.65
    Activations Density 0.164%

    No Known Activations