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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. 9-RES-JB
    6. 11002
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    Explanations

    dates and time references

    oai_token-act-pair · gpt-3.5-turbo

    the definite article "the" in various contexts

    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
    antz
    -0.71
    itus
    -0.70
    ivas
    -0.69
    ventures
    -0.66
    APTER
    -0.66
    ibl
    -0.66
    ward
    -0.65
    ben
    -0.65
    worn
    -0.64
    pointers
    -0.64
    POSITIVE LOGITS
     vicinity
    1.31
     meantime
    1.09
     same
    1.07
     midst
    1.01
     Philippines
    1.00
     context
    0.96
     guise
    0.96
     shortest
    0.94
     ballpark
    0.92
     foreseeable
    0.91
    Activations Density 0.268%

    No Known Activations