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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. 3573
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    Explanations

    phrases related to advocating for or bringing attention to various issues or topics

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the action of raising awareness or addressing issues

    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
    ician
    -0.75
     Samoa
    -0.74
    cas
    -0.69
    pedia
    -0.68
    icity
    -0.65
    jamin
    -0.64
    inates
    -0.64
     wink
    -0.63
    ian
    -0.62
     neighb
    -0.61
    POSITIVE LOGITS
     eyebrows
    1.22
     eyebrow
    0.89
    xual
    0.83
    stakes
    0.82
     awareness
    0.80
    byn
    0.77
     objections
    0.74
     alarms
    0.74
     concerns
    0.74
     suspicions
    0.73
    Activations Density 0.036%

    No Known Activations