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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. 9-RES-JB
    11. 4901
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    Explanations

    phrases related to challenges or obstacles that individuals or groups face

    oai_token-act-pair · gpt-3.5-turbo

    instances of struggle or conflict 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
    orthy
    -0.73
    default
    -0.71
    undy
    -0.70
    miah
    -0.70
    ushima
    -0.68
    pecially
    -0.68
    asus
    -0.67
    uminium
    -0.67
    mington
    -0.67
    onica
    -0.67
    POSITIVE LOGITS
     nevertheless
    1.69
     still
    1.58
     nonetheless
    1.55
    still
    1.29
     remains
    1.18
     persists
    1.15
     remained
    1.13
     remain
    1.11
     persisted
    1.07
     persist
    1.07
    Activations Density 0.346%

    No Known Activations