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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. 0-RES-JB
    11. 13134
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    Explanations

    mentions of or related to scientific concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to science and specific individuals like "Cameron" and "dude," along with concepts such as posture and occupations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hong
    -0.65
     battleground
    -0.64
    ========
    -0.64
     Auditor
    -0.64
     flags
    -0.64
    gae
    -0.63
    éĩ
    -0.63
     elim
    -0.63
    trak
    -0.62
     congest
    -0.62
    POSITIVE LOGITS
    ameron
    1.74
    cience
    1.60
    aleb
    1.26
     worldview
    1.17
     posture
    1.16
     dude
    1.13
     cis
    1.05
     masculinity
    1.00
    oway
    1.00
    owan
    0.99
    Activations Density 0.047%

    No Known Activations