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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. 24362
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    Explanations

    words related to psychology or behavior, specifically focusing on behaviors and conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to centers and behavioral concepts

    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
     VIDEOS
    -0.85
     Gott
    -0.68
    outh
    -0.68
     Tanz
    -0.66
    Merit
    -0.65
     Lieberman
    -0.64
    RESULTS
    -0.64
    PHOTOS
    -0.64
     Dull
    -0.63
    earable
    -0.62
    POSITIVE LOGITS
     Whilst
    0.80
     analyse
    0.79
    ablishment
    0.77
    piece
    0.76
    uminium
    0.74
     Firstly
    0.74
     defences
    0.71
    colour
    0.71
     paran
    0.70
    abal
    0.69
    Activations Density 0.219%

    No Known Activations