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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. 1-RES-JB
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    Explanations

    mentions of the word "Met" followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    references to "Metropolitan" elements as well as themes involving metals and metaphorical concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ================================================================
    -0.85
    Reply
    -0.74
    \\\\\\\\
    -0.71
    otin
    -0.68
    duc
    -0.67
    perm
    -0.67
    à
    -0.67
    ously
    -0.66
    ffer
    -0.65
    ãģį
    -0.63
    POSITIVE LOGITS
    ropolitan
    1.18
    allic
    1.07
    adata
    0.99
    eor
    0.97
    gdala
    0.87
    borgh
    0.84
    è¦ļéĨĴ
    0.83
    imet
    0.76
    rics
    0.76
    roid
    0.69
    Activations Density 0.007%

    No Known Activations