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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. 5345
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    Explanations

    phrases indicating advice or direction to hold back or avoid certain actions

    oai_token-act-pair · gpt-3.5-turbo

    the concept of abstaining or holding back from specific actions

    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
    ammy
    -0.93
    NetMessage
    -0.80
    immer
    -0.76
    rations
    -0.76
    rams
    -0.69
    ramid
    -0.69
    odes
    -0.67
    neau
    -0.64
    emetery
    -0.64
    changes
    -0.64
    POSITIVE LOGITS
     refrain
    1.19
    rences
    0.80
     abst
    0.77
    fulness
    0.75
    ting
    0.71
     answering
    0.70
     acknow
    0.67
    ively
    0.67
    hovah
    0.67
     whine
    0.66
    Activations Density 0.005%

    No Known Activations