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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. 7-RES-JB
    6. 8086
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    Explanations

    mentions of specific entities or names, possibly related to politics or current events

    oai_token-act-pair · gpt-3.5-turbo

    specific names and terms related to political and societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Thumbnail
    -0.70
    ume
    -0.65
     Nanto
    -0.63
    !--
    -0.60
    Synopsis
    -0.59
     mascul
    -0.59
    andise
    -0.58
     imagin
    -0.58
    udo
    -0.57
     ....
    -0.57
    POSITIVE LOGITS
    helps
    0.68
    bay
    0.67
     hadn
    0.66
    osaurs
    0.66
    bably
    0.66
    cheat
    0.66
     existed
    0.64
     shouldn
    0.64
     deserved
    0.64
     exists
    0.63
    Activations Density 0.658%

    No Known Activations