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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
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    Explanations

    mentions of educational institutions, specifically schools

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "school"

    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
    OPLE
    -0.76
     tame
    -0.76
     Bundy
    -0.69
    vernment
    -0.65
     recoil
    -0.63
    \\\\
    -0.62
     timestamp
    -0.60
     dormant
    -0.60
     XIV
    -0.59
    ãģį
    -0.58
    POSITIVE LOGITS
    girls
    1.24
    children
    1.18
    kids
    1.15
    boys
    1.08
    masters
    1.08
    boy
    1.07
    master
    0.97
    girl
    0.96
    mates
    0.92
    neys
    0.92
    Activations Density 0.041%

    No Known Activations