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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 4777
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    Explanations

    passwords or codes indicated by the characters "WD" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific identifier or term related to an entity or category

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odies
    -0.86
    auld
    -0.83
    ussian
    -0.76
    ylon
    -0.75
    berus
    -0.73
    auldron
    -0.69
    emetery
    -0.69
    zers
    -0.68
     Adviser
    -0.68
    arde
    -0.68
    POSITIVE LOGITS
    ership
    0.89
    ictionary
    0.82
    irection
    0.78
    ansas
    0.77
    ski
    0.76
    ition
    0.75
    RECT
    0.74
    20439
    0.71
    emonic
    0.71
    ication
    0.70
    Activations Density 0.024%

    No Known Activations