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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. 10-RES-JB
    11. 10408
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    Explanations

    mentions of freedom, particularly related to free speech and free markets

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to freedom and free expression

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sidx
    -0.82
     Takeru
    -0.72
    older
    -0.71
    URRENT
    -0.71
    amel
    -0.63
    warts
    -0.63
    ITED
    -0.63
    ENTS
    -0.61
     Redux
    -0.61
     Shack
    -0.60
    POSITIVE LOGITS
    bies
    1.12
    zing
    1.07
    zers
    1.06
    boot
    1.01
    edom
    0.98
    bie
    0.98
     roam
    0.93
     spirited
    0.90
    fall
    0.87
    zin
    0.87
    Activations Density 0.033%

    No Known Activations