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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. 8-RES-JB
    11. 8382
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    Explanations

    words related to thoughts, beliefs, and expectations

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to expectations or preconceived notions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Commando
    -0.67
     WWF
    -0.61
    ammy
    -0.60
    ashtra
    -0.59
     Ducks
    -0.59
     Dickinson
    -0.57
     Command
    -0.57
     Mariners
    -0.57
     burner
    -0.56
     Hover
    -0.55
    POSITIVE LOGITS
    pent
    0.72
    ium
    0.69
     Bout
    0.65
    ion
    0.64
    VM
    0.63
     existed
    0.63
    inus
    0.61
     ;)
    0.61
    Ç
    0.61
    pace
    0.61
    Activations Density 0.142%

    No Known Activations