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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. 21990
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    INDEX
    Explanations

    words related to stress/anxiety and physical descriptions or states

    oai_token-act-pair · gpt-3.5-turbo

    words related to ease or simplicity

    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
    ACTED
    -0.79
    ORED
    -0.77
    ISC
    -0.68
    OGR
    -0.67
    href
    -0.66
    example
    -0.65
     Rangers
    -0.64
    =/
    -0.64
    aciously
    -0.64
     Beckham
    -0.64
    POSITIVE LOGITS
    asy
    1.31
    ħĭ
    1.02
    yip
    0.96
    pora
    0.90
     nodd
    0.88
    aky
    0.87
    azo
    0.87
    mble
    0.87
    acus
    0.86
    ramid
    0.85
    Activations Density 0.006%

    No Known Activations