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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. 3-RES-JB
    11. 3115
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    Explanations

    phrases related to controversial statements or opinions identified by non-standard Unicode characters

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "didn't" or similar variations of negation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUnfocused
    -0.75
     Patriot
    -0.67
     Marble
    -0.65
    ctors
    -0.64
     buggy
    -0.63
     scatter
    -0.61
     continuum
    -0.61
     Libyan
    -0.61
     Armored
    -0.61
     swept
    -0.60
    POSITIVE LOGITS
    ¹
    0.87
    there
    0.87
    abo
    0.86
    âĢķ
    0.84
    âģ
    0.83
    \<
    0.82
    agree
    0.81
    -|
    0.81
    ulty
    0.81
    £
    0.81
    Activations Density 0.297%

    No Known Activations