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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. 11-RES-JB
    11. 14785
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    Explanations

    phrases related to exerting influence or causing significant impact

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve significant impact or dramatic actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ruary
    -0.76
    âĶĢâĶĢ
    -0.70
    iosis
    -0.68
    orea
    -0.65
    bys
    -0.65
    amia
    -0.64
    gio
    -0.64
    izarre
    -0.63
    lique
    -0.63
    anship
    -0.61
    POSITIVE LOGITS
     crap
    1.49
     hell
    1.29
     heck
    1.25
     shit
    1.25
     fuck
    1.15
     messenger
    1.08
     stuffing
    1.06
     asses
    0.99
     throats
    0.96
     bushes
    0.93
    Activations Density 0.153%

    No Known Activations