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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. 6-RES-JB
    11. 4151
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    Explanations

    phrases related to giving opportunities or chances to someone or something

    oai_token-act-pair · gpt-3.5-turbo

    opportunities and chances for action or improvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.67
     Cth
    -0.67
    nel
    -0.65
    ulhu
    -0.61
    åº
    -0.60
    adish
    -0.58
    iba
    -0.58
    ©¶æ
    -0.56
    ugu
    -0.56
     Trees
    -0.56
    POSITIVE LOGITS
     chance
    0.84
     opportunity
    0.82
     choice
    0.72
     creeps
    0.68
     inoc
    0.66
    ppo
    0.64
     breat
    0.64
     pretext
    0.63
     ride
    0.63
    ="#
    0.63
    Activations Density 0.347%

    No Known Activations