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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. 1-RES-JB
    11. 6593
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    Explanations

    words related to achieving desired outcomes or effects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to desires and expectations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mans
    -0.93
    pat
    -0.80
    ammy
    -0.73
    man
    -0.67
    mar
    -0.67
    kers
    -0.67
    smart
    -0.66
    osaurs
    -0.65
    mun
    -0.65
    pack
    -0.65
    POSITIVE LOGITS
     desired
    1.01
    igslist
    0.99
    ĸļ
    0.87
     mosqu
    0.81
     desires
    0.79
    ulkan
    0.79
     confir
    0.77
    atile
    0.77
     Parenthood
    0.75
    iage
    0.73
    Activations Density 0.011%

    No Known Activations