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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. 2-RES-JB
    11. 1618
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    Explanations

    comparisons between different entities or items

    oai_token-act-pair · gpt-3.5-turbo

    comparisons or contrastive statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Enlarge
    -0.47
    division
    -0.46
     vulner
    -0.46
    communication
    -0.45
    venge
    -0.45
    enei
    -0.44
    abytes
    -0.43
    TPPStreamerBot
    -0.43
    pit
    -0.43
    Offline
    -0.42
    POSITIVE LOGITS
     however
    0.75
     meanwhile
    0.65
     moreover
    0.56
     furthermore
    0.56
    anwhile
    0.54
     though
    0.53
     therefore
    0.50
    emonium
    0.48
    theless
    0.48
    ortun
    0.47
    Activations Density 4.989%

    No Known Activations