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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. 7404
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    Explanations

    phrases related to the value or respect for certain concepts or opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of values and respect

    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
    nings
    -0.94
    vic
    -0.86
    yon
    -0.74
    quartered
    -0.72
    hern
    -0.72
    estone
    -0.72
    hew
    -0.69
    itters
    -0.67
    isp
    -0.67
    way
    -0.67
    POSITIVE LOGITS
     him
    0.87
     them
    0.81
    ably
    0.80
     liberty
    0.76
    lessly
    0.76
     eternity
    0.74
    enance
    0.74
     everything
    0.71
     freedom
    0.70
     freedoms
    0.69
    Activations Density 0.137%

    No Known Activations