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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. 9-RES-JB
    11. 20002
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    Explanations

    phrases related to sporting events and divisions

    oai_token-act-pair · gpt-3.5-turbo

    references to different divisions in sports or organizational contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uated
    -0.67
    milo
    -0.65
    natureconservancy
    -0.62
    facts
    -0.60
    uates
    -0.60
    >>>>
    -0.60
    issan
    -0.58
     Heard
    -0.57
    isks
    -0.57
    anim
    -0.57
    POSITIVE LOGITS
    al
    1.21
    ality
    1.03
    naire
    1.01
    ally
    0.95
    alities
    0.92
    aler
    0.84
    alist
    0.81
    als
    0.79
    SHIP
    0.75
    alis
    0.75
    Activations Density 0.036%

    No Known Activations