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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. 2-RES-JB
    6. 16288
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    INDEX
    Explanations

    pronouns like 'it,' 'you,' 'they,' and 'he.'

    oai_token-act-pair · gpt-3.5-turbo

    references to specific situations or statements made by a subject

    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
     PID
    -0.76
     batches
    -0.66
     heat
    -0.64
     mushroom
    -0.63
     capt
    -0.62
     batch
    -0.62
     reluctant
    -0.62
    VERTISEMENT
    -0.61
     caps
    -0.60
     refill
    -0.59
    POSITIVE LOGITS
    resa
    1.00
    pherd
    0.89
    itage
    0.84
    ffield
    0.78
    stic
    0.77
    ablishment
    0.76
    wards
    0.76
    odore
    0.75
    alyst
    0.74
    withstanding
    0.74
    Activations Density 0.510%

    No Known Activations