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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. 3079
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    Explanations

    technical and descriptive phrases related to processes, decisions, and mechanisms

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to analogies and comparisons

    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
     Concern
    -0.77
     Commissioners
    -0.71
    Firstly
    -0.65
    cern
    -0.65
    lev
    -0.64
    channelAvailability
    -0.63
    given
    -0.62
    izons
    -0.62
     blame
    -0.62
     doubts
    -0.62
    POSITIVE LOGITS
     technique
    1.02
     neat
    1.00
     seamless
    0.99
     process
    0.94
     achieves
    0.94
     nifty
    0.91
     spont
    0.89
     shenan
    0.88
     simplicity
    0.88
     tedious
    0.86
    Activations Density 0.847%

    No Known Activations