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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. 6-RES-JB
    11. 4133
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    Explanations

    phrases related to instructions or suggestions

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing importance and necessity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tut
    -0.53
     Milton
    -0.52
     Muss
    -0.49
     Poc
    -0.48
     Augusta
    -0.48
     Admission
    -0.45
     Oswald
    -0.45
    Prosecut
    -0.45
    apego
    -0.44
     Hammond
    -0.44
    POSITIVE LOGITS
     ðŁij
    0.74
     ;)
    0.73
    ðŁij
    0.66
    </
    0.62
     âĶĤ
    0.60
    )</
    0.60
    ðŁ
    0.60
     âĺ
    0.59
    >,
    0.59
    )?
    0.58
    Activations Density 2.014%

    No Known Activations