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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. 15385
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    Explanations

    phrases related to physically grabbing or holding onto something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to control or possession

    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
     Audit
    -0.70
    osal
    -0.67
    icycle
    -0.66
     Scotia
    -0.65
     Rab
    -0.64
    TeX
    -0.63
    itone
    -0.61
    endez
    -0.60
    naire
    -0.59
    cephal
    -0.59
    POSITIVE LOGITS
    hold
    1.48
    holding
    1.12
    erness
    1.11
    holder
    1.09
    holders
    1.08
    held
    0.89
    fast
    0.88
     hold
    0.87
    backs
    0.87
    outs
    0.86
    Activations Density 0.034%

    No Known Activations