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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. 10-RES-JB
    6. 9191
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    INDEX
    Explanations

    capital letters that are at the highest possible activation value

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter "X" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kson
    -0.75
    getic
    -0.72
     beh
    -0.68
    Ú
    -0.65
     behavi
    -0.65
    enance
    -0.60
     appe
    -0.60
    à¨
    -0.59
    à©
    -0.59
    keepers
    -0.59
    POSITIVE LOGITS
    VII
    1.41
    III
    1.36
    peria
    1.32
    avier
    1.32
    IX
    1.24
    VI
    1.19
    II
    1.18
    IV
    1.13
    cellence
    1.11
    ML
    1.10
    Activations Density 0.052%

    No Known Activations