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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 12418
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    Explanations

    mentions of the concept of 'mind'

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of the mind

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reek
    -0.71
    EStreamFrame
    -0.68
     audible
    -0.63
    DIR
    -0.62
    interstitial
    -0.60
     Zombies
    -0.59
    aukee
    -0.58
    Pie
    -0.57
     Giuliani
    -0.57
    ded
    -0.56
    POSITIVE LOGITS
    fulness
    0.99
    mind
    0.99
    Mind
    0.82
    bender
    0.79
     mind
    0.78
    plex
    0.76
    ful
    0.76
    lock
    0.75
    erves
    0.75
    fully
    0.74
    Activations Density 0.017%

    No Known Activations