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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. 12675
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    INDEX
    Explanations

    descriptive statements followed by a comparison or contrast

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "was" 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
    achu
    -0.67
    inite
    -0.65
     inhabit
    -0.65
    arming
    -0.62
     affinity
    -0.61
    ctl
    -0.60
    gem
    -0.60
    ennett
    -0.59
    igrant
    -0.59
    oper
    -0.58
    POSITIVE LOGITS
     preceded
    1.01
     happening
    0.95
    wolf
    0.86
     followed
    0.81
    wolves
    0.76
     BEFORE
    0.75
     done
    0.75
     supposed
    0.74
     accompanied
    0.74
    ntil
    0.73
    Activations Density 0.110%

    No Known Activations