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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. 20705
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    Explanations

    words related to practicality or practical applications

    oai_token-act-pair · gpt-3.5-turbo

    references to practical applications or usefulness 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
    opsis
    -0.75
    buck
    -0.73
    Gate
    -0.69
    essee
    -0.68
    water
    -0.68
    ngth
    -0.68
    ocl
    -0.68
    beck
    -0.66
    akin
    -0.65
    yards
    -0.65
    POSITIVE LOGITS
    ity
    1.08
    ities
    0.94
     impossibility
    0.82
     necessities
    0.80
    istically
    0.79
     considerations
    0.78
    iencies
    0.76
     measures
    0.72
    cases
    0.71
     necessity
    0.70
    Activations Density 0.025%

    No Known Activations