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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 15544
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    Explanations

    the word "Kal" with varying levels of activation strength

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual named Kalashnikov

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.92
    ãģį
    -0.71
    IBLE
    -0.65
    AGE
    -0.64
    ORTS
    -0.63
    çĶŁ
    -0.62
    UCT
    -0.61
     halftime
    -0.61
     degrade
    -0.60
    åij
    -0.60
    POSITIVE LOGITS
    adesh
    1.27
    amaz
    1.26
    arov
    1.01
    endar
    1.00
    inda
    0.97
    ibr
    0.97
    iev
    0.96
    ita
    0.95
    endars
    0.94
    tering
    0.93
    Activations Density 0.018%

    No Known Activations