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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. 4-RES-JB
    11. 18442
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    Explanations

    emotionally charged and impactful words related to experiences

    oai_token-act-pair · gpt-3.5-turbo

    emotional and critical tones in expressions, particularly those that are cathartic or vitriolic

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

    No Comments

    Negative Logits
     Mutual
    -0.87
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.84
    leigh
    -0.81
    zilla
    -0.70
    ãĥ¯
    -0.68
    ATA
    -0.68
     Flight
    -0.68
     Children
    -0.66
    WAYS
    -0.66
    HCR
    -0.66
    POSITIVE LOGITS
    odic
    0.96
    aded
    0.93
    oled
    0.83
    olic
    0.83
     sarc
    0.82
    ilit
    0.80
    acet
    0.79
    ading
    0.77
     unden
    0.76
    ache
    0.75
    Activations Density 0.025%

    No Known Activations