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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. 7-RES-JB
    11. 21465
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    Explanations

    phrases indicating reflection, representation, or correspondence

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate judgement or assessment of representation and reflection in various contexts

    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
    bang
    -0.83
    ©¶æ¥µ
    -0.72
    queue
    -0.71
     Brune
    -0.71
    ITED
    -0.71
     Carbuncle
    -0.69
    eating
    -0.64
    ade
    -0.63
    ahead
    -0.63
    ©¶æ
    -0.63
    POSITIVE LOGITS
     sentiments
    1.06
     realities
    1.01
     seriousness
    0.99
     sentiment
    0.91
     ideals
    0.91
     intentions
    0.86
     sensibilities
    0.86
     values
    0.84
     worldview
    0.84
     pree
    0.84
    Activations Density 0.268%

    No Known Activations