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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 6288
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    INDEX
    Explanations

    hyphenated words representing medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    negative prefixes or terms indicating adversity or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    channelAvailability
    -0.69
     DVDs
    -0.67
     quantity
    -0.66
     breed
    -0.65
     investigators
    -0.65
    uously
    -0.63
     Nurse
    -0.62
     exceptions
    -0.62
     movies
    -0.61
     imitation
    -0.60
    POSITIVE LOGITS
    tur
    1.19
    direction
    1.12
    social
    1.08
    centric
    1.08
    cultural
    1.07
    nom
    1.02
    norm
    1.01
    nuclear
    1.01
    technical
    0.99
    pac
    0.98
    Activations Density 0.078%

    No Known Activations