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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
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    Explanations

    phrases indicating strong beliefs or convictions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong conviction or belief

    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
    pmwiki
    -0.74
    ankind
    -0.73
    dos
    -0.72
    launch
    -0.69
    interrupted
    -0.67
    regulated
    -0.67
    ember
    -0.66
    alm
    -0.65
    ack
    -0.65
    estial
    -0.64
    POSITIVE LOGITS
     convinced
    1.03
     convince
    0.86
     persuaded
    0.86
    -+-+
    0.85
    imaru
    0.82
     convin
    0.78
    ument
    0.75
    ĵĺ
    0.75
    ãĥ³ãĤ¸
    0.75
    rican
    0.74
    Activations Density 0.011%

    No Known Activations