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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. 8-RES-JB
    11. 6942
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    INDEX
    Explanations

    sentences with intensifiers followed by adjectives

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating extreme conditions or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     redes
    -0.78
    aho
    -0.64
    zman
    -0.64
    ACC
    -0.61
    YS
    -0.59
    áµ
    -0.57
     conduc
    -0.56
     aft
    -0.56
    UG
    -0.55
    enfranch
    -0.55
    POSITIVE LOGITS
     they
    0.88
     it
    0.85
     nobody
    0.80
    ruciating
    0.75
     even
    0.72
     we
    0.69
     hardly
    0.68
    eday
    0.67
    terday
    0.67
    soever
    0.65
    Activations Density 0.090%

    No Known Activations