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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. 9-RES-JB
    11. 20295
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    Explanations

    phrases related to completion or things being done thoroughly

    oai_token-act-pair · gpt-3.5-turbo

    the word "fully" in various contexts

    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
    liest
    -0.75
    gee
    -0.71
    tery
    -0.71
     Tycoon
    -0.69
    idium
    -0.68
    igraph
    -0.67
     Springs
    -0.67
    ivari
    -0.66
     Parables
    -0.66
     Mostly
    -0.65
    POSITIVE LOGITS
     fled
    1.05
     clothed
    1.00
    fledged
    0.97
     utilized
    0.84
     matured
    0.83
     appreciated
    0.83
     transitioned
    0.83
     stocked
    0.82
     equipped
    0.82
     functioning
    0.80
    Activations Density 0.032%

    No Known Activations