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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. 10-RES-JB
    11. 21558
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    Explanations

    phrases related to specific descriptions or events

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to emotional responses and human experience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unfocusedRange
    -0.86
    ©¶æ
    -0.68
    NL
    -0.68
    boa
    -0.64
    nesday
    -0.60
    soDeliveryDate
    -0.60
     alot
    -0.60
    OPLE
    -0.60
     PB
    -0.59
    involved
    -0.58
    POSITIVE LOGITS
    .</
    1.02
     lest
    0.98
    .[
    0.97
    enance
    0.93
     amidst
    0.89
    .<
    0.88
    .
    0.88
     alike
    0.84
     irresist
    0.83
    .;
    0.83
    Activations Density 0.640%

    No Known Activations