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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. 17605
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    INDEX
    Explanations

    names of law schools and related legal terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Law" in various contexts

    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
    emonic
    -0.74
    ibilities
    -0.70
     Philips
    -0.69
     sqor
    -0.67
     retina
    -0.66
     Scion
    -0.65
     pts
    -0.64
    ACTED
    -0.63
    Ò
    -0.63
    avorite
    -0.61
    POSITIVE LOGITS
    yer
    1.40
    suits
    1.26
    suit
    1.25
    yers
    1.22
     Enforcement
    1.11
    makers
    1.04
    esian
    0.91
    360
    0.88
    maker
    0.88
     enforcement
    0.87
    Activations Density 0.033%

    No Known Activations