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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. 4-RES-JB
    11. 16507
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    Explanations

    terms related to opportunities or opposition

    oai_token-act-pair · gpt-3.5-turbo

    words related to opportunities or oppositional contexts

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

    No Comments

    Negative Logits
     ill
    -0.70
     Penal
    -0.67
     Newport
    -0.67
    ashtra
    -0.66
     immersion
    -0.65
     Quran
    -0.64
     metab
    -0.63
     Grip
    -0.61
     tan
    -0.60
     magnification
    -0.60
    POSITIVE LOGITS
    ortun
    1.44
    onent
    1.32
    osition
    1.27
    osite
    1.25
    odcast
    1.02
    onents
    1.00
    olicy
    0.94
    ĸļ
    0.94
    opp
    0.90
    elle
    0.90
    Activations Density 0.005%

    No Known Activations