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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. 8490
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    Explanations

    text related to updates or changes in software versions

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to achievement and success

    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
    >.
    -0.72
    .</
    -0.69
    $.
    -0.68
    utenberg
    -0.66
    .''
    -0.63
     accordingly
    -0.62
     attRot
    -0.61
    ''.
    -0.60
    ]).
    -0.59
    vironment
    -0.58
    POSITIVE LOGITS
     TBA
    0.67
     Canaveral
    0.63
     âĵĺ
    0.63
     Luna
    0.54
     Peaks
    0.52
     Frazier
    0.52
     Hung
    0.51
     Sem
    0.51
     Lucifer
    0.50
     Built
    0.50
    Activations Density 0.453%

    No Known Activations