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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. 6524
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    INDEX
    Explanations

    specific action verbs related to investigating or checking

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating an assessment or verification process

    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
     fleeing
    -0.65
     Lives
    -0.64
    horn
    -0.59
     dying
    -0.59
    eret
    -0.58
     sung
    -0.58
    arching
    -0.58
     kneeling
    -0.58
     fled
    -0.58
     vanished
    -0.58
    POSITIVE LOGITS
     determine
    1.53
     ascertain
    1.32
     verify
    1.21
     ensure
    1.17
     evaluate
    1.14
     assess
    1.14
     confirm
    1.08
     analyse
    1.06
     validate
    1.06
     understand
    1.05
    Activations Density 0.218%

    No Known Activations