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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. 4-RES-JB
    11. 800
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    Explanations

    phrases related to negative opinions or problems

    oai_token-act-pair · gpt-3.5-turbo

    the word "the" in various contexts

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

    No Comments

    Negative Logits
    SPONSORED
    -0.79
    hops
    -0.76
    elaide
    -0.67
     preferably
    -0.67
    mont
    -0.67
    chester
    -0.65
    imei
    -0.64
    wine
    -0.64
    atoon
    -0.63
    meric
    -0.63
    POSITIVE LOGITS
     slightest
    1.18
     proverbial
    1.16
     latter
    1.09
     sheer
    1.08
     entirety
    1.08
     smallest
    1.07
     confines
    1.06
     same
    1.02
     possibility
    1.02
     seriousness
    1.02
    Activations Density 1.200%

    No Known Activations