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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. 3681
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    Explanations

    experiences and levels of experience in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to experience 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
    ichick
    -0.75
    tan
    -0.72
    corn
    -0.70
    ependent
    -0.67
    bye
    -0.67
    utm
    -0.66
    react
    -0.65
    vous
    -0.64
    cott
    -0.64
    anski
    -0.63
    POSITIVE LOGITS
     firsthand
    0.85
     Experience
    0.82
    ually
    0.82
    OWS
    0.76
     experience
    0.74
    è¦ļéĨĴ
    0.72
    ience
    0.72
    ienced
    0.71
     gained
    0.70
    ooters
    0.70
    Activations Density 0.031%

    No Known Activations