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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. 7-RES-JB
    11. 14202
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    INDEX
    Explanations

    phrases indicating distribution or allocation of resources or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a transfer or allocation of something

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    autical
    -0.78
    iveness
    -0.75
    nered
    -0.70
    emouth
    -0.65
    urst
    -0.64
    etta
    -0.63
    na
    -0.63
    ynski
    -0.61
     athlet
    -0.60
    quartered
    -0.59
    POSITIVE LOGITS
    WARD
    0.69
     desk
    0.68
     fruition
    0.68
     determine
    0.67
     compensate
    0.67
     shove
    0.66
     haunt
    0.66
     whoever
    0.66
     Natasha
    0.64
     expire
    0.63
    Activations Density 0.136%

    No Known Activations