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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. 1614
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    Explanations

    references to monetary sums in USD

    oai_token-act-pair · gpt-3.5-turbo

    monetary amounts expressed in USD

    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
     resemb
    -0.83
    borough
    -0.70
     Bris
    -0.69
     lett
    -0.68
    eworld
    -0.67
    addons
    -0.66
    alist
    -0.66
    zzle
    -0.65
    alysed
    -0.65
    fitting
    -0.65
    POSITIVE LOGITS
    USD
    0.97
    ORTS
    0.94
    UGE
    0.87
    OPE
    0.86
    ION
    0.84
    ollar
    0.84
    UAL
    0.84
    imates
    0.83
    ANA
    0.82
    ICAN
    0.81
    Activations Density 0.020%

    No Known Activations