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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. 2-RES-JB
    11. 4403
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    Explanations

    words related to temperature and temperament

    oai_token-act-pair · gpt-3.5-turbo

    terms related to temperature and temperamental qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roma
    -0.77
    gom
    -0.76
    location
    -0.67
    ÅĤ
    -0.66
     Lans
    -0.66
    km
    -0.66
    Jul
    -0.65
    rd
    -0.65
    nz
    -0.64
     NX
    -0.64
    POSITIVE LOGITS
     tant
    1.30
    amental
    1.19
    aments
    1.18
     temper
    1.07
     Temper
    0.96
    pit
    0.89
    mental
    0.86
    atures
    0.82
    ament
    0.82
    uate
    0.82
    Activations Density 0.009%

    No Known Activations