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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. 3-RES-JB
    11. 4419
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    INDEX
    Explanations

    phrases related to selecting or dealing with items individually

    oai_token-act-pair · gpt-3.5-turbo

    terms related to individual selection or treatment versus collective actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    liest
    -0.70
     regime
    -0.69
     misinformation
    -0.67
     passage
    -0.64
     Gore
    -0.64
     Kelvin
    -0.64
    geries
    -0.64
    ion
    -0.63
     worker
    -0.63
    odan
    -0.62
    POSITIVE LOGITS
    umbered
    0.87
     segreg
    0.81
    ividually
    0.78
    éĹĺ
    0.74
     separately
    0.74
    assisted
    0.73
     individually
    0.72
    igham
    0.72
    borgh
    0.71
     spaced
    0.70
    Activations Density 0.008%

    No Known Activations