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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. 7055
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    Explanations

    detailed descriptions of various items or objects with specific attributes

    oai_token-act-pair · gpt-3.5-turbo

    quantities and references to measurement or amounts

    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
    "]=>
    -0.75
    ]'
    -0.64
    "]
    -0.63
    estate
    -0.63
    grounds
    -0.63
    wagon
    -0.61
    nesday
    -0.61
    Reviewer
    -0.61
    ']
    -0.60
    eday
    -0.59
    POSITIVE LOGITS
     twist
    0.74
     flair
    0.73
     caveats
    0.68
     caveat
    0.68
     backing
    0.66
     accents
    0.65
     brush
    0.65
     flourish
    0.64
     flowing
    0.62
     impunity
    0.62
    Activations Density 0.806%

    No Known Activations