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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. 6-RES-JB
    11. 7682
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    Explanations

    keywords related to requirements or necessity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "needed" indicating a demand or necessity in various contexts

    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
    imore
    -0.71
    gdala
    -0.71
    vec
    -0.69
    vez
    -0.68
    creen
    -0.67
    claimer
    -0.67
    cow
    -0.65
    washer
    -0.64
    retion
    -0.63
    banks
    -0.63
    POSITIVE LOGITS
    lessly
    0.90
     urgently
    0.74
     introdu
    0.70
     sshd
    0.69
     to
    0.67
     unanim
    0.66
     scarce
    0.66
    resso
    0.66
     captcha
    0.65
    ioned
    0.64
    Activations Density 0.036%

    No Known Activations