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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. 566
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    Explanations

    instances of quoted remarks within text

    oai_token-act-pair · gpt-3.5-turbo

    quoted phrases or dialogue within the text

    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
     certain
    -0.79
     few
    -0.76
     couple
    -0.74
     variety
    -0.69
     Kru
    -0.67
     slew
    -0.65
     Kre
    -0.65
     handful
    -0.64
     Virtue
    -0.64
     bunch
    -0.63
    POSITIVE LOGITS
    extremely
    1.05
    ongo
    1.02
    absolute
    1.02
    aura
    0.99
    illusion
    0.99
    orange
    0.98
    extra
    0.98
    icon
    0.97
    interesting
    0.97
    open
    0.97
    Activations Density 0.129%

    No Known Activations