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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. 0-RES-JB
    11. 12312
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    Explanations

    technical terms and descriptions, particularly those related to straightforward processes

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of simplicity and clarity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    taboola
    -0.69
     Reserve
    -0.66
    agues
    -0.66
    fell
    -0.62
    lag
    -0.61
    olor
    -0.59
     MEM
    -0.59
    igr
    -0.59
     Film
    -0.59
    arie
    -0.58
    POSITIVE LOGITS
     straightforward
    3.14
     simple
    1.51
     concise
    1.40
     unamb
    1.38
     trivial
    1.35
     succinct
    1.35
     simpler
    1.32
    simple
    1.26
     innocuous
    1.24
     simplistic
    1.23
    Activations Density 0.012%

    No Known Activations