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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. 0-RES-JB
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    INDEX
    Explanations

    verbs or adjectives associated with negative or challenging situations

    oai_token-act-pair · gpt-3.5-turbo

    recurring negative themes or burdens affecting individuals or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ISO
    -0.72
     Chim
    -0.71
    ovy
    -0.68
     Contributions
    -0.68
    Cop
    -0.67
    issors
    -0.67
    lex
    -0.66
    idently
    -0.63
    ress
    -0.63
    erate
    -0.62
    POSITIVE LOGITS
     plagued
    3.19
     haunted
    2.52
     dogged
    2.44
     bes
    1.96
     hampered
    1.96
     afflicted
    1.87
     blight
    1.82
     troubled
    1.78
     haunt
    1.76
     riddled
    1.72
    Activations Density 0.048%

    No Known Activations